Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis
Litjens, Geert, Sánchez, Clara I., Timofeeva, Nadya, Hermsen, Meyke, Nagtegaal, Iris, Kovacs, Iringo, Hulsbergen - van de Kaa, Christina, Bult, Peter +2 more·2016·Scientific Reports
Cited by (1,000)
Items 501–600 of 1,000
- A deep learning based approach to detect IDC in histopathology imagesIsha Gupta, Soumya Ranjan Nayak, Sheifali Gupta, Swati Singh, Kavya Verma, Abhishek Gupta, Deo Prakash · 2022 · Multimedia Tools and Applications
- Digital Pathology: The Time Is Now to Bridge the Gap between Medicine and Technological SingularityConsolato Maria Sergi · 2019 · IntechOpen eBooks
- AI based diagnostics product design for osteosarcoma cells microscopy imaging of bone cancer patients using CA-MobileNet V3Qian Liu, Xing She, Xia Qian · 2024 · Journal of bone oncology
- Advancing Prostate Cancer Diagnostics: A ConvNeXt Approach to Multi-Class Classification in Underrepresented PopulationsDeclan Ikechukwu Emegano, Mubarak Taiwo Mustapha, İlker Özşahin, Dilber Uzun Ozsahin, Dilber Uzun Ozsahin · 2025 · Bioengineering
- Development and validation of an artificial intelligence-based pipeline for predicting oral epithelial dysplasia malignant transformationAdam Shephard, Hanya Mahmood, Shan E Ahmed Raza, Anna Luíza Damaceno Araújo, Alan Roger Santos‐Silva, Márcio Ajudarte Lopes, Pablo Agustín Vargas, Kris D. McCombe, Stephanie G. Craig, Jacqueline A. James et al. · 2025 · Communications Medicine
- Deep learning-based diagnosis of temporal lobe epilepsy associated with hippocampal sclerosis: An MRI studyYosuke Ito, Masafumi Fukuda, Hitoshi Matsuzawa, Hiroshi Masuda, Yu Kobayashi, Naoya Hasegawa, Hiroki Kitaura, Akiyoshi Kakita, Yukihiko Fujii · 2021 · Epilepsy Research
- Deep Learning on Multimodal Chemical and Whole Slide Imaging Data for Predicting Prostate Cancer Directly from Tissue ImagesMd Inzamam Ul Haque, Debangshu Mukherjee, Sylwia A. Stopka, Nathalie Y.R. Agar, Jacob D Hinkle, Olga S. Ovchinnikova · 2023 · Journal of the American Society for Mass Spectrometry
- Motivation for using data-driven algorithms in research: A review of machine learning solutions for image analysis of micrographs in neuroscienceFrederic Thiele, Anthony J. Windebank, Ahad M. Siddiqui · 2023 · Journal of Neuropathology & Experimental Neurology
- Deep Segmentation Techniques for Breast Cancer DiagnosisStorm Schutte, Jia Uddin · 2024 · BioMedInformatics
- DRA-Net: Medical image segmentation based on adaptive feature extraction and region-level information fusionZhongmiao Huang, Liejun Wang, Lianghui Xu · 2024 · Scientific Reports
- Alzheimer’s disease diagnosis using deep learning techniques: datasets, challenges, research gaps and future directionsAsifa Nazir, Assif Assad, Ahsan Basharat Hussain, Mandeep Singh · 2024 · International Journal of Systems Assurance Engineering and Management
- Histopathological evaluation and grading for prostate cancer: current issues and crucial aspectsVittorio Agosti, Enrico Munari · 2024 · Asian Journal of Andrology
- Pathology, proteomics and the pathway to personalised medicinePing Jin, Jiang Lan, Kui Wang, Mark S. Baker, Canhua Huang, Edouard Collins Nice · 2018 · Expert Review of Proteomics
- Automated label‐free detection of injured neuron with deep learning by two‐photon microscopyShu Wang, Bingbing Lin, Guimin Lin, Ruolan Lin, Feng Huang, Weilin Liu, Xingfu Wang, Xueyong Liu, Yu Zhang, Feng Wang et al. · 2019 · Journal of Biophotonics
- Deep Convolutional Neural Network for Computer-Aided Detection of Breast Cancer Using Histopathology ImagesR. Karthiga, Kumaravelu Narasimhan · 2021 · Journal of Physics Conference Series
- Medical image editing in the latent space of Generative Adversarial NetworksRubén Fernández Blanco, Pilar Rosado Rodrigo, Esteban Vegas, Ferrán Reverter · 2021 · Intelligence-Based Medicine
- Genetic Algorithm Based Selection of Appropriate Biomarkers for Improved Breast Cancer PredictionArnab Kumar Mishra, Pinki Roy, Sivaji Bandyopadhyay · 2019 · Advances in intelligent systems and computing
- Using Machine Learning for Enhancing the Understanding of Bullwhip Effect in the Oil and Gas IndustryAna Sousa, Tiago Ribeiro, Susana Relvas, Ana Paula Barbosa‐Póvoa · 2019 · Machine Learning and Knowledge Extraction
- Deep-UV excitation fluorescence microscopy for detection of lymph node metastasis using deep neural networkTatsuya Matsumoto, Hirohiko Niioka, Y Kumamoto, Junya Sato, Osamu Inamori, Ryuta Nakao, Yoshinori Harada, Eiichi Konishi, Eigo Otsuji, Hideo Tanaka et al. · 2019 · Scientific Reports
- Classifying Germinal Center Derived Lymphomas—Navigate a Complex Transcriptional LandscapeHenry Loeffler‐Wirth, Markus Kreuz, Maria Schmidt, German Ott, Reiner Siebert, Hans Binder · 2022 · Cancers
- Applications of Digital and Computational Pathology and Artificial Intelligence in Genitourinary Pathology DiagnosticsAnkush Patel, Sambit Kumar Mohanty, Anil Vasdev Parwani · 2022 · Surgical pathology clinics
- VGG16-based intelligent image analysis in the pathological diagnosis of IgA nephropathyYing Chen, Yinyin Chen, Shuangshuang Fu, Wei Yin, Kanghan Liu, Shuyi Qian · 2023 · Journal of Radiation Research and Applied Sciences
- Multi-Scale Digital Pathology Patch-Level Prostate Cancer Grading Using Deep Learning: Use Case Evaluation of DiagSet DatasetTanaya Kondejkar, Salah Alheejawi, Anne Breggia, Bilal Ahmad, Robert Christman, Ryan Stephen T, Saeed Amal · 2024 · Bioengineering
- Multi-categorical classification using deep learning applied to the diagnosis of gastric cancerJonas Kloeckner, Tatiana Sansonowicz, Áttila Leães Rodrigues, Tatiana Wittée Neetzow Nunes · 2020 · Jornal Brasileiro de Patologia e Medicina Laboratorial
- Deep Learning Techniques in Leaf Image Segmentation and Leaf Species Classification: A SurveyAnuj Kumar, Silky Sachar · 2023 · Wireless Personal Communications
- R-JaunLab: Automatic Multi-Class Recognition of Jaundice on Photos of Subjects with Region Annotation NetworksZheng Wang, Ying Xiao, Futian Weng, Xiaojun Li, Danhua Zhu, Fanggen Lu, Xiaowei Liu, Muzhou Hou, Yu Meng · 2021 · Journal of Imaging Informatics in Medicine
- Brain age prediction of healthy subjects on anatomic MRI with deep learning: going beyond with an "explainable AI" mindsetPaul Hérent, Simon Jégou, Gilles Wainrib, Thomas Clozel · 2018 · bioRxiv (Cold Spring Harbor Laboratory)
- The power of machine learning methods to predict crowdfunding success: Accounting for complex relationships efficientlyRamy Elitzur, Noam Katz, Peri Muttath, David A. Soberman · 2024 · Journal of Business Venturing Design
- A Hybrid Human–Machine Learning Approach for Screening Prostate Biopsies Can Improve Clinical Efficiency Without Compromising Diagnostic AccuracyDavid Dov, Serge Assaad, Ameer Syedibrahim, Jonathan L. Bell, Jiaoti Huang, John F. Madden, Rex C. Bentley, Shannon J. McCall, Ricardo Henao, Lawrence Carin et al. · 2021 · Archives of Pathology & Laboratory Medicine
- Should AI-Enabled Medical Devices be Explainable?Rita Matulionytė, Paul Nolan, Farah Magrabi, Amin Beheshti · 2022 · International Journal of Law and Information Technology
- High-fidelity detection, subtyping, and localization of five skin neoplasms using supervised and semi-supervised learningJames Requa, Tuatini Godard, Rajni V. Mandal, Bonnie Lei Balzer, Darren E. Whittemore, Eva Vertes George, Frenalyn Barcelona, Chalette Lambert, Jonathan Wei Jie Lee, Allison Lambert et al. · 2022 · Journal of Pathology Informatics
- Development and validation of a deep learning algorithm for pattern-based classification system of cervical cancer from pathological sectionsWei Tian, Siyuan Sun, Bin Wu, Chunli Yu, Fengyun Cui, Huafeng Cheng, Jingjing You, Mingjiang Li · 2023 · Heliyon
- Deep sample clustering domain adaptation for breast histopathology image classificationPin Wang, Gongxin Yang, Yongming Li, Pufei Li, Yurou Guo, Rui Chen · 2023 · Biomedical Signal Processing and Control
- Shedding light on the black box of a neural network used to detect prostate cancer in whole slide images by occlusion-based explainabilityMatej Gallo, Matej Gallo, Rudolf Nenutil, Michal Němeček, Petr Holub, Tomǎš Brázdil · 2023 · New Biotechnology
- Advancing Colorectal Cancer Diagnosis with AI-Powered Breathomics: Navigating Challenges and Future DirectionsIoannis Gallos, Dimitrios J. Tryfonopoulos, Gidi Shani, Angelos Amditis, Hossam Haick, Dimitra D. Dionysiou · 2023 · Diagnostics
- The utilization of different AI methods-based satellite communications: A surveyMaan Muataz Abdulwahid, Sefer Kurnaz · 2024 · AIP conference proceedings
- 3-Dimensional Reconstruction From Histopathological Sections: A Systematic ReviewAlexander Kurz, Heimo Müller, Jakob Nikolas Kather, Lucas Schneider, Tabea-Clara Bucher, Titus Josef Brinker · 2024 · Laboratory Investigation
- A reliable breast cancer diagnosis approach using an optimized deep learning and conformal predictionBandar Almaslukh · 2024 · Biomedical Signal Processing and Control
- Persistent homology for the automatic classification of prostate cancer aggressiveness in histopathology imagesJordan Schupbach, Brittany Terese Fasy, John W. Sheppard, Peter J. Lawson · 2019 · SPIE Medical Imaging: Digital and Computational Pathology
- Black Box Nature of Deep Learning for Digital Pathology: Beyond Quantitative to Qualitative Algorithmic PerformancesYoichi Hayashi · 2020 · Lecture notes in computer science
- Deep Learning Model for Pathogen Classification Using Feature Fusion and Data AugmentationFareed Ahmad, Amjad Farooq, Muhammad Usman Ghani Khan · 2020 · Current Bioinformatics
- Deep Convolutional Neural Networks Detect Tumor Genotype from Pathological Tissue Images in Gastrointestinal Stromal TumorsCher‐Wei Liang, Pei‐Wei Fang, Hsuan‐Ying Huang, Chung‐Ming Lo · 2021 · Cancers
- Cultivating Clinical Clarity through Computer Vision: A Current Perspective on Whole Slide Imaging and Artificial IntelligenceAnkush Patel, Nada Shaker, Sambit Kumar Mohanty, Shivani Sharma, Shivam Gangal, Catarina Eloy, Anil Vasdev Parwani · 2022 · Diagnostics
- Transfer Learning for Adenocarcinoma Classifications in the Transurethral Resection of Prostate Whole-Slide ImagesMasayuki Tsuneki, Makoto Abe, Fahdi Kanavati · 2022 · Cancers
- An update on computational pathology tools for genitourinary pathology practice: A review paper from the Genitourinary Pathology Society (GUPS)Anil Vasdev Parwani, Ankush Patel, Ming Zhou, John C. Cheville, Hamid R. Tizhoosh, Peter A. Humphrey, Victor E. Reuter, Lawrence D. True · 2022 · Journal of Pathology Informatics
- Hepatocellular carcinoma histopathological images grading with a novel attention-sharing hybrid network based on multi-feature fusionJinhua Zhang, Song Qiu, Qingli Li, Chenhao Zhou, Zhiqiu Hu, Jialei Weng, Xia Sheng, Qiongzhu Dong, Ning Ren · 2023 · Biomedical Signal Processing and Control
- Lumen-based detection of prostate cancer via convolutional neural networksJin Tae Kwak, Stephen M. Hewitt · 2017 · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
- A histopathologic feature of the behavior of gastric signet‐ring cell carcinoma; an image analysis study with deep learningHideo Mori, Hideaki Miwa · 2019 · Pathology International
- Objective Diagnosis for Histopathological Images Based on Machine Learning Techniques: Classical Approaches and New TrendsNaira Elazab, Hassan Soliman, Shaker El–Sappagh, S. M. Riazul Islam, Mohammed Mahfouz Elmogy · 2020 · RePEc: Research Papers in Economics
- Cellular Level Based Deep Learning Framework for Early Detection of Dysplasia in Oral Squamous EpitheliumRachit Kumar Gupta, Mandeep Kaur, Jatinder Manhas · 2019 · Lecture notes in electrical engineering
- Computer-Aided Assessment of Melanocytic Lesions by Means of a Mitosis AlgorithmSturm, Bart, Creytens, David, Smits, Jan, Ooms, Ariadne H. A. G., Eijken, Erik, Kurpershoek, Eline, Küsters-Vandevelde, Heidi V. N., Wauters, Carla, Blokx, Willeke A. M., van der Laak, Jeroen A. W. M. · 2022 · Diagnostics
- Artificial intelligence: a new era in prostate cancer diagnosis and treatmentNithin Vidiyala, Prashanth Reddy Parupathi, Pavani Sunkishala, Chetan Sree Muppavarapu, Aditya Gujja, Praneeth Kanagala, Sai Krishna Meduri, Dinesh Nyavanandi · 2025 · International Journal of Pharmaceutics
- Metastatic Breast Cancer Recognition in Histopathology Images Using Convolutional Neural Network with Attention MechanismLiang Yu, Jinglong Yang, Xiongwen Quan, Han Zhang · 2019 · Chinese Automation Congress
- FEEDNet: a feature enhanced encoder-decoder LSTM network for nuclei instance segmentation for histopathological diagnosisGayatri Deshmukh, Onkar Susladkar, Dhruv Makwana, Sai Chandra Teja R, Nagesh Kumar S, Sparsh Mittal · 2022 · Physics in Medicine and Biology
- Development and multi‐institutional validation of an artificial intelligence‐based diagnostic system for gastric biopsyHiroyuki Abé, Yusuke Kurose, Shusuke Takahama, Ayako Kume, Shu Nishida, Miyako Fukasawa, Yoichi Yasunaga, Tetsuo Ushiku, Youichirou Ninomiya, Akihiko Yoshizawa et al. · 2022 · Cancer Science
- Deep Learning Analysis of Histopathology Images for Breast Cancer Detection: A Comparative Study of ResNet and VGG ArchitecturesAndreas Kanavos, Phivos Mylonas B · 2023 · International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)
- Quantification of follicles in human ovarian tissue using image processing software and trained artificial intelligenceGabrielle M. Blevins, Colleen L. Flanagan, Sridula Kallakuri, Owen M Meyer, Likitha Nimmagadda, James D Hatch, Sydney A Shea, Vasantha Padmanabhan, Ariella Shikanov · 2024 · Biology of Reproduction
- Intra-modality masked image modeling: A self-supervised pre-training method for brain tumor segmentationLiangce Qi, Weili Shi, Yu Miao, Yonghui Li, Guanyuan Feng, Zhengang Jiang · 2024 · Biomedical Signal Processing and Control
- A Review on Recent Advancements in Diagnosis and Classification of Cancers Using Artificial IntelligencePriyanka Ramesh, K. Ramanathan, Shanthi Veerappapillai · 2020 · Biomedicine
- Effects of Image Quantity and Image Source Variation on Machine Learning Histology Differential Diagnosis ModelsElham Vali Betts, Kevin Krause, Alanna Mari Kaufman Dubrovsky, Kristin Olson, John Paul Graff, Anupam Mitra, Ananya Datta-Mitra, Kenneth A. Beck, Aristotelis Tsirigos, Cynthia A. Loomis et al. · 2021 · Journal of Pathology Informatics
- High-performance tensor decompositions for compressing and accelerating deep neural networksXiao-Yang Liu, Yiming Fang, Liuqing Yang, Zechu Li, Anwar Walid · 2022 · Elsevier eBooks
- DFCV: a framework for evaluation deep learning in early detection and classification of lung cancerAbeer Alsadoon, Ghazi Al‐Naymat, Ahmed Hamza Osman, Belal Saeed Alsinglawi, Majdi Maabreh, Rafiqul Islam · 2023 · Multimedia Tools and Applications
- Context-based interpolation of coarse deep learning prediction maps for the segmentation of fine structures in immunofluorescence imagesNicolas Brieu, Peter D. Caie, Christos G. Gavriel, Günter Schmidt, David James Harrison · 2018 · SPIE Medical Imaging: Digital and Computational Pathology
- SU-Net and DU-Net Fusion for Tumour Segmentation in Histopathology ImagesYilong Li, Zhaoyang Xu, Yaqi Wang, Huiyu Zhou, Qianni Zhang · 2020 · IEEE International Symposium on Biomedical Imaging (ISBI)
- Deep Regional Metastases Segmentation for Patient-Level Lymph Node Status ClassificationLu Wang, Tian Song, Takafumi Katayama, Xiantao Jiang, Takashi Shimamoto, Jenq‐Shiou Leu · 2021 · IEEE Access
- White-box content camouflage attacks against deep learningTianrong Chen, Jie Ling, Yuping Sun · 2022 · Computers & Security
- Computer-aided Detection of Squamous Carcinoma of the Cervix in Whole Slide ImagesYe Tian, Yang Li, Wei Wang, Jing Zhang, Tang, Qing, Mili Ji, Yang Yu, Li, Yu, Hong Wei Yang, Airong Qian · 2019 · arXiv (Cornell University)
- The state of the art in artificial intelligence and digital pathology in prostate cancerHeyuan Michael Ni, Ramez Kouzy, Ali Sabbagh, Michael Kevin Rooney, Jean Feng, Simón P. Castillo, Sherif M. Gadoue, Zakaria El Kouzi, Karen Elizabeth Hoffman, Yinyin Yuan et al. · 2025 · Nature Reviews Urology
- Artificial Intelligence–Powered Prediction of ALK Gene Rearrangement in Patients With Non–Small-Cell Lung CancerYukihiro Terada, T. Takahashi, Takamitsu Hayakawa, Akira Ono, Takuya Kawata, Mitsuhiro Isaka, Koji Muramatsu, Kiyoshi Tone, Hiroaki Kodama, Toru Imai et al. · 2022 · JCO Clinical Cancer Informatics
- GCS-ICHNet: Assessment of Intracerebral Hemorrhage Prognosis using Self-Attention with Domain Knowledge IntegrationXuhao Shan, Xinyang Li, Ruiquan Ge, Shibin Wu, Ahmed Elazab, Jichao Zhu, Lingyan Zhang, Gangyong Jia, Qingying Xiao, Xiang Wan et al. · 2023 · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
- GMIM: Self-supervised pre-training for 3D medical image segmentation with adaptive and hierarchical masked image modelingLiangce Qi, Zhengang Jiang, Weili Shi, Feng Qu, Guanyuan Feng · 2024 · Computers in Biology and Medicine
- ViViEchoformer: Deep Video Regressor Predicting Ejection FractionTaymaz Akan, Sait Alp, Md. Shenuarin Bhuiyan, Tarek A. Helmy, Anthony Wayne Orr, Md. Mostafizur Rahman Bhuiyan, Steven A. Conrad, John A. Vanchiere, Christopher G. Kevil, Mohammad Alfrad Nobel Bhuiyan · 2024 · Journal of Imaging Informatics in Medicine
- HiViT: Hierarchical attention-based Transformer for multi-scale whole slide histopathological image classificationJinze Yu, Shuo Li, Luxin Tan, Haoyi Zhou, Jianxin Li, Jianxin Li · 2025 · Expert Systems with Applications
- Generalising multistain immunohistochemistry tissue segmentation using end‐to‐end colour deconvolution deep neural networksAmal Lahiani, Jacob Gildenblat, Irina Klaman, Nassir Navab, Eldad Klaiman · 2019 · IET Image Processing
- Gleason Grading of Histology Prostate Images Through Semantic Segmentation via Residual U-NetAmartya Kalapahar, Julio Silva-Rodríguez, Adrián Colomer, Fernando López-Mir, Valery Naranjo · 2020 · Proceedings - International Conference on Image Processing
- Detection of Ki67 Hot-Spots of Invasive Breast Cancer Based on Convolutional Neural Networks Applied to Mutual Information of H&E and Ki67 Whole Slide ImagesŻaneta Świderska-Chadaj, Jaime Gallego, González-López Lucía, Gloria Bueno · 2020 · Applied Sciences
- Deep neural networks architecture driven by problem-specific informationDaniel Urda, Francisco J. Veredas, Javier González-Enrique, Juan Jesús Ruíz-Aguilar, Jose Manuel Jerez, Ignacio J. Turias · 2021 · Neural Computing and Applications
- Weakly Supervised Learning for Poorly Differentiated Adenocarcinoma Classification in GastricEndoscopic Submucosal Dissection Whole Slide ImagesMasayuki Tsuneki, Fahdi Kanavati · 2022 · Technology in Cancer Research & Treatment
- Image Magnification Regression Using DenseNet for Exploiting Histopathology Open Access ContentSebastian Otálora, Manfredo Atzori, Vincent Andrearczyk, Henning Müller · 2018 · Lecture notes in computer science
- On Transferability of Histological Tissue Labels in Computational PathologyMahdi S. Hosseini, Lyndon Chan, Weimin Huang, Yichen Wang, Danial Hasan, Corwyn H. Rowsell, Savvas Damaskinos, Konstantinos N. Plataniotis · 2020 · Lecture notes in computer science
- Predicting the outcome for COVID-19 patients by applying time series classification to electronic health recordsD. Rodrigues, A. C. de Seixas Santos Nastri, M. M. Magri, M. S. de Oliveira, E. Sabino, Pedro H. M. F. Figueiredo, A. Levin, M. Freire, Leila Harima, Fátima L. S. Nunes et al. · 2022 · BMC Medical Informatics and Decision Making
- The Use of Deep Learning-Based Computer Diagnostic Algorithm for Detection of Lymph Node Metastases of Gastric AdenocarcinomaJun Matsushima, Tamotsu Sato, Takashi Ohnishi, Yuichiro Yoshimura, Hiroyuki Mizutani, Shinichiro Koto, Jun‐ichiro Ikeda, Masayuki Kano, Hisahiro Matsubara, Hideki Hayashi · 2022 · International Journal of Surgical Pathology
- How to use AI in pathologyPeter J. Schüffler, Katja Steiger, Wilko Weichert · 2023 · Genes Chromosomes and Cancer
- STS-TransUNet: Semi-supervised Tooth Segmentation Transformer U-Net for dental panoramic imageDuolin Sun, Jianqing Wang, Zhaoyu Zuo, Yixiong Jia, Yimou Wang · 2024 · Mathematical Biosciences & Engineering
- Preoperative Molecular Subtype Classification Prediction of Ovarian Cancer Based on Multi-Parametric Magnetic Resonance Imaging Multi-Sequence Feature Fusion NetworkYijiang Du, Tingting Wang, Linhao Qu, Haiming Li, Qinhao Guo, Haoran Wang, Xinyuan Liu, Xiaohua Wu, Zhijian Song · 2024 · Bioengineering
- Computer‐assisted urine cytology: Faster, cheaper, better?Chiara Ciaparrone, Elisabetta Maffei, Vincenzo L’Imperio, Pasquale Pisapia, Catarina Eloy, Filippo Fraggetta, Pio Zeppa, Alessandro Caputo · 2024 · Cytopathology
- The emerging role of artificial intelligence in neuropathology: Where are we and where do we want to go?Giuseppe Broggi, Manuel Mazzucchelli, Serena Salzano, Giuseppe Maria Vincenzo Barbagallo, Francesco Certo, Magda Zanelli, Andrea Palicelli, Maurizio Zizzo, Nektarios I. Koufopoulos, Gaetano Giuseppe Magro et al. · 2024 · Pathology - Research and Practice
- Deep learning-driven macroscopic AI segmentation model for brain tumor detection via digital pathology: Foundations for terahertz imaging-based AI diagnosticsMyeong Suk Yim, Yun Heung Kim, Hyeon Sang Bark, Seung Jae Oh, Inhee Maeng, Jin‐Kyoung Shim, Jong Hee Chang, Seok‐Gu Kang, Byeong Cheol Yoo, Jae Gwang Kwon et al. · 2024 · Heliyon
- Automatic ovarian follicle detection using object detection modelsMaya Haj Hassan, Éric Reiter, Misbah Razzaq · 2024 · Scientific Reports
- Deep learning in nuclear medicine: from imaging to therapyMeng-Xin Zhang, Pengfei Liu, Meng-Di Zhang, Pan Su, He-Shan Shang, Jianfei Zhu, Dayong Wang, Xin‐Ying Ji, Qi-Ming Liao · 2025 · Annals of Nuclear Medicine
- Deep learning-based classification of colorectal cancer in histopathology images for category detectionThang Truong Le, Vinh-Thuyen Nguyen-Truong, Quang Duong Van Nhat, Nghia Trong Le Phan, Phuc Nguyen Thien Dao, Mqondisi Fortune Mavuso, Huy Ngoc Anh Nguyen, Tien Thuy Mai, Kiep Thi Quang · 2025 · Biology Methods and Protocols
- Deep Learning-Based Drug Screening for COVID-19 and Case StudiesKonda Mani Saravanan, Haiping Zhang, Md. Tofazzal Hossain, Md. Selim Reza, Yanjie Wei · 2021 · Methods in pharmacology and toxicology
- Finding simplicity: unsupervised discovery of features, patterns, and order parameters via shift-invariant variational autoencoders *Maxim A Ziatdinov, Chun Yin Wong, Sergei V. Kalinin · 2023 · Machine Learning Science and Technology
- Automated annotations of epithelial cells and stroma in hematoxylin–eosin ‐stained whole‐slide images using cytokeratin re‐stainingTomǎš Brázdil, Matej Gallo, Rudolf Nenutil, Andrej Kubanda, Martin Toufar, Petr Holub · 2021 · The Journal of Pathology Clinical Research
- Semi‐supervised breast histopathological image classification with self‐training based on non‐linear distance metricKun Liu, Zhuolin Liu, Sidong Liu · 2022 · IET Image Processing
- Performance of Automated Classification of Diagnostic Entities in Dermatopathology Validated on Multisite Data Representing the Real-World Variability of Pathology WorkloadVictor Brodsky, Leah Levine, Enric P. Solans, Samer Dola, Larisa Chervony, Simon Polak · 2022 · Archives of Pathology & Laboratory Medicine
- Comparison of Different Augmentation Techniques for Improved Generalization Performance for Gleason GradingIda Arvidsson, Niels Christian Overgaard, Kalle Åström, Anders Heyden · 2019 · IEEE International Symposium on Biomedical Imaging (ISBI)
- Panoptic View of Prognostic Models for Personalized Breast Cancer ManagementGeetanjali Saini, Karuna Mittal, Padmashree C.G. Rida, Emiel A. M. Janssen, Keerthi Gogineni, Ritu Aneja · 2019 · Cancers
- Neoplasias in Fish: Review of the Last 20 Years. A Look from the PathologyLuís Alberto Romano, Virgínia Fonseca Pedrosa · 2020 · Annual Research & Review in Biology
- A prospective observational multicentric clinical trial to evaluate microscopic examination of acid-fast bacilli in sputum by artificial intelligence-based microscopy systemPrashant Gupta, Vineeta Khare, Anand Srivastava, Jyotsna Agarwal, Vineeta Mittal, Vijay Sonkar, Shelly Saxena, Ankit Agarwal, Amita Jain · 2023 · Journal of Investigative Medicine