Computer-aided diagnosis with deep learning architecture: applications to breast lesions in US images and pulmonary nodules in CT scans
Cheng, Jie-Zhi, Ni, Dong, Chou, Yi-Hong, Qin, Jing, Tiu, Chui-Mei, Chang, Yeun-Chung, Huang, Chiun-Sheng, Shen, Dinggang +1 more·2016·Scientific Reports
Cited by (746)
Items 201–300 of 746
- A survey of deep learning models in medical therapeutic areasAlberto Nogales, Álvaro José García-Tejedor, Diana Monge Martín, Juan Serrano Vara, Cristina Antón Rodríguez · 2021 · Artificial Intelligence in Medicine
- Weakly-supervised Convolutional learning for detection of inflammatory gastrointestinal lesionsSpiros V. Georgakopoulos, Dimitris K. Iakovidis, Michael D. Vasilakakis, Vassilis P. Plagianakos, Anastasios Koulaouzidis · 2016 · IEEE International Conference on Imaging Systems and Techniques (IST)
- Hybrid-feature-guided lung nodule type classification on CT imagesJingjing Yuan, Xinglong Liu, Fei Hou, Hong Qin, Aimin Hao · 2017 · Computers & Graphics
- Improved classification and localization approach to small bowel capsule endoscopy using convolutional neural networkYunseob Hwang, Han Hee Lee, Chunghyun Park, Bayu Adhi Tama, Jin Su Kim, Dae Young Cheung, Woo Chul Chung, Young‐Seok Cho, K M Lee, Myung‐Gyu Choi et al. · 2020 · Digestive Endoscopy
- Automatic medical protocol classification using machine learning approachesPilar López Úbeda, Manuel Carlos Díaz–Galiano, Teodoro Martín‐Noguerol, Antonio Luna, Luís Alfonso Ureña López, María Teresa Martín Valdivia · 2021 · Computer Methods and Programs in Biomedicine
- Classification of Breast Cancer Lesions in Ultrasound Images by Using Attention Layer and Loss Ensemble in Deep Convolutional Neural NetworksElham Yousef Kalafi, Ata Jodeiri, Seyed Kamaledin Setarehdan, Wei Lin Ng, Kartini Rahmat, Nur Aishah Mohd Taib, Mogana Darshini Ganggayah, Sarinder Kaur Dhillon · 2021 · Diagnostics
- Application of Deep Learning in Automated Analysis of Molecular Images in Cancer: A SurveyYong Xue, Shihui Chen, Jing Qin, Yong Liu, Bingsheng Huang, Hanwei Chen · 2017 · Contrast Media & Molecular Imaging
- Deep learning models for diagnosing spleen and stomach diseases in smart Chinese medicine with cloud computingQingchen Zhang, Changchuan Bai, Zhikui Chen, Peng Li, Hang Yu, Shuo Wang, He Gao · 2019 · Concurrency and Computation Practice and Experience
- Detection of mitotic cells in breast cancer histopathological images using deep versus handcrafted featuresIbrahim Onur Sığırcı, Abdülkadir Albayrak, Gökhan Bilgin · 2021 · Multimedia Tools and Applications
- Incorporating clinical knowledge with constrained classifier chain into a multimodal deep network for melanoma detectionYuheng Wang, Jiayue Cai, Daniel C. Louie, Z. Jane Wang, Tim K. Lee · 2021 · Computers in Biology and Medicine
- Ensembling EfficientNets for the Classification and Interpretation of Histopathology ImagesAthanasios Kallipolitis, Kyriakos Revelos, Ilias G. Maglogiannis · 2021 · Algorithms
- Comparative Analysis of Vision Transformers and Conventional Convolutional Neural Networks in Detecting Referable Diabetic RetinopathyJocelyn Hui Lin Goh, Elroy Ang, Sahana Srinivasan, Xiaofeng Lei, Johnathan Loh, Ten Cheer Quek, Cancan Xue, Xinxing Xu, Yong Liu, Ching‐Yu Cheng et al. · 2024 · Ophthalmology Science
- Clinical Named Entity Recognition From Chinese Electronic Health Records via Machine Learning MethodsYu Zhang, Xuwen Wang, Zhen Hou, Jiao Li · 2018 · JMIR Medical Informatics
- Discriminant analysis of neural style representations for breast lesion classification in ultrasoundMichał Byra · 2018 · Journal of Applied Biomedicine
- A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosisYongli Xu, Man Hu, Hanruo Liu, Hao Yang, Huaizhou Wang, Shuai Lu, Tianwei Liang, Xiaoxing Li, Mai Xu, Liu Li et al. · 2021 · npj Digital Medicine
- Medical Image Classification Algorithm Based on Visual Attention Mechanism‐MCNNFengping An, Xiaowei Li, Xingmin Ma · 2021 · Oxidative Medicine and Cellular Longevity
- Segmentation and recognition of breast ultrasound images based on an expanded U-NetYanjun Guo, Xingguang Duan, Chengyi Wang, Huiqin Guo · 2021 · PLoS ONE
- Monkeypox recognition and prediction from visuals using deep transfer learning-based neural networksGaurav Meena, Krishna Kumar Mohbey, Sunil Kumar · 2024 · Multimedia Tools and Applications
- Computer aided diagnosis system developed for ultrasound diagnosis of liver lesions using deep learningMakoto Yamakawa, Tsuyoshi Shiina, Naoshi Nishida, Masatoshi Kudo · 2019 · IEEE International Ultrasonics Symposium
- Autoencoders and variational autoencoders in medical image analysisJan Ehrhardt, Matthias Wilms · 2022 · Elsevier eBooks
- Developing deep learning methods for classification of teeth in dental panoramic radiographySerkan Yılmaz, Murat Taşyürek, Mehmet Amuk, Mete Çelik, Emin Murat Canger · 2023 · Oral Surgery Oral Medicine Oral Pathology and Oral Radiology
- Classification of lung nodule malignancy in computed tomography imaging utilising generative adversarial networks and semi-supervised transfer learningIoannis D. Apostolopoulos, Nikolaos D. Papathanasiou, George Panayiotakis · 2021 · Journal of Applied Biomedicine
- Automatic Categorization and Scoring of Solid, Part-Solid and Non-Solid Pulmonary Nodules in CT Images with Convolutional Neural NetworkXiaoguang Tu, Mei Xie, Jingjing Gao, Zheng Ma, Dai-Qiang Chen, Qingfeng Wang, Samuel G. Finlayson, Yangming Ou, Jie‐Zhi Cheng · 2017 · Scientific Reports
- Automatic benign and malignant classification of pulmonary nodules in thoracic computed tomography based on RF algorithmXiang‐Xia Li, Bin Li, Lianfang Tian, Li Zhang · 2018 · IET Image Processing
- Effect of despeckle filtering on classification of breast tumors using ultrasound imagesN.A. Kriti, Jitendra Virmani, Ravinder Agarwal · 2019 · Journal of Applied Biomedicine
- Performance of deep learning for differentiating pancreatic diseases on contrast-enhanced magnetic resonance imaging: A preliminary studyXuchen Gao, X. Wang · 2019 · Diagnostic and Interventional Imaging
- CovXmlc: High performance COVID-19 detection on X-ray images using Multi-Model classificationSourabh Singh Verma, Ajay Prasad, Anil Kumar · 2021 · Biomedical Signal Processing and Control
- CX-DaGAN: Domain Adaptation for Pneumonia Diagnosis on a Small Chest X-Ray DatasetKaren Sánchez, Carlos A. Hinojosa, Henry Argüello, Denis Kouamé, Olivier Meyrignac, Adrian Basarab · 2022 · IEEE Transactions on Medical Imaging
- Automatic detection of multisize pulmonary nodules in CT images: Large‐scale validation of the false‐positive reduction stepAnindya Gupta, T. Saar, Olev Märtens, Yannick Le Moullec · 2018 · Medical Physics
- A Review on Alzheimer’s Disease Through Analysis of MRI Images Using Deep Learning TechniquesBattula Srinivasa Rao, Mudiyala Aparna · 2023 · IEEE Access
- A combined ultrasonic B-mode and color Doppler system for the classification of breast masses using neural networkXuejun Qian, Qi Zhang, Shaoqiang Liu, Yueai Wang, Xiaoqiong Chen, Jingyuan Liu, Yuzheng Yang, Xiang Chen, Yi Wei, Qisen Xiao et al. · 2020 · European Radiology
- A Collaborative Privacy-Preserving Deep Learning System in Distributed Mobile EnvironmentMenghan Liu, Haotian Jiang, Jia Chen, Alaa Badokhon, Xuetao Wei, Ming-Chun Huang · 2016 · International Conference on Computational Science and Computational Intelligence (CSCI)
- Deep learning to automate Brasfield chest radiographic scoring for cystic fibrosisEvan James Zucker, Zachary A. Barnes, Matthew P. Lungren, Katie S. Shpanskaya, Jayne M. Seekins, Safwan S. Halabi, David B. Larson · 2019 · Journal of Cystic Fibrosis
- Protein–Protein Interactions Prediction via Multimodal Deep Polynomial Network and Regularized Extreme Learning MachineHaijun Lei, Yuting Wen, Zhu‐Hong You, Ahmed Elazab, Ee-Leng Tan, Yujia Zhao, Baiying Lei · 2018 · IEEE Journal of Biomedical and Health Informatics
- Artificial Intelligence (AI)-aided Disease PredictionChenxi Liu, Dian Jiao, Zhe Liu · 2020 · BIO Integration
- Deep learning-based pulmonary tuberculosis automated detection on chest radiography: large-scale independent testingWenxia Zhou, Guanxun Cheng, Ziqi Zhang, Litong Zhu, Stefan Jaeger, Fleming Y. M. Lure, Lin Guo · 2022 · Quantitative Imaging in Medicine and Surgery
- FLDS: An Intelligent Feature Learning Detection System for Visualizing Medical Images Supporting Fetal Four-Chamber ViewsQiao, Sibo, Pang, Shanchen, Luo, Gang, Pan, Silin, Chen, Taotao, Lv, Zhihan · 2022 · IEEE Journal of Biomedical and Health Informatics
- Medical Images Segmentation Based on Unsupervised Algorithms: A ReviewRevella E. A. Armya, Adnan Mohsin Abdulazeez · 2021 · Qubahan Academic Journal
- Simultaneous Arteriole and Venule Segmentation of Dual-Modal Fundus Images Using a Multi-Task Cascade NetworkShulin Zhang, Rui Zheng, Yuhao Luo, Xuewei Wang, Jianbo Mao, Cynthia J. Roberts, Mingzhai Sun · 2019 · IEEE Access
- Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare ApplicationsHaohan Wang, Zhenglin Wu, Eric P. Xing · 2018 · Pacific Symposium on Biocomputing (PSB)
- Lung Nodule Diagnosis on 3D Computed Tomography Images Using Deep Convolutional Neural NetworksQianqian Zhang, Haifeng Wang, Sang Won Yoon, Daehan Won, Krishnaswami Srihari · 2019 · Procedia Manufacturing
- Interpreting a recurrent neural network’s predictions of ICU mortality riskVan Long Ho, Melissa Aczon, David Ledbetter, Randall C. Wetzel · 2021 · Journal of Biomedical Informatics
- Automatic breast lesion segmentation in phase preserved DCE-MRIsDinesh Babu Pandey, Hua Wang, Xiaoxia Yin, Kate Wang, Yanchun Zhang, Jing Shen · 2022 · Health Information Science and Systems
- Deep learning for cardiac computer-aided diagnosis: benefits, issues & solutionsBrian Chung Shiong Loh, Patrick Then · 2017 · mHealth
- Automatic classification of solitary pulmonary nodules in PET/CT imaging employing transfer learning techniquesIoannis D. Apostolopoulos, Emmanuel G. Pintelas, Ioannis E. Livieris, Dimitris J. Apostolopoulos, Nikolaos D. Papathanasiou, Panagiotis Pintelas, George Panayiotakis · 2021 · Medical & Biological Engineering & Computing
- Understanding artificial intelligence based radiology studies: CNN architectureSimukayi Mutasa, Shawn H. Sun, Richard S. Ha · 2021 · Clinical Imaging
- Automatic classification of informative laryngoscopic images using deep learningPeter Yao, Dan Witte, Hortense Gimonet, Alexander German, Katerina Andreadis, Michael Cheng, Lucian Sulica, Olivier Elemento, Josue Barnes, Anaïs Rameau · 2022 · Laryngoscope Investigative Otolaryngology
- An Appraisal of Nodule Diagnosis for Lung Cancer in CT ImagesGuobin Zhang, Zhiyong Yang, Li Gong, Shan Jiang, Lu Wang, Xi Cao, Lin Wei, Hongyun Zhang, Ziqi Liu · 2019 · Journal of Medical Systems
- Deep Learning for Differentiating Benign From Malignant Parotid Lesions on MR ImagesXianwu Xia, Bin Feng, Jiazhou Wang, Qianjin Hua, Yide Yang, Sheng Liang, Yonghua Mou, Weigang Hu · 2021 · Frontiers in Oncology
- Ensemble of 3D Densely Connected Convolutional Network for Diagnosis of Mild Cognitive Impairment and Alzheimer’s DiseaseShuqiang Wang, Hongfei Wang, Albert C. Cheung, Yanyan Shen, Min Gan · 2020 · Advances in intelligent systems and computing
- Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual networkBo-Soung Jeoun, Su Yang, Sang-Jeong Lee, Tae‐Il Kim, Jun-Min Kim, Jo‐Eun Kim, Kyung‐Hoe Huh, Sam-Sun Lee, Min-Suk Heo, Won-Jin Yi · 2022 · Scientific Reports
- Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based ApproachAleksei Tiulpin, Jérôme Thevenot, Esa Rahtu, Petri P Lehenkari, Simo S. Saarakkala · 2018 · Scientific Reports
- Computer aided detection and diagnosis in medical imagingJorge Hernández‐Rodríguez, Francisco Javier Cabrero Fraile, María José Rodríguez Conde, P. L. Gomez Llorente · 2016 · Ninth International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM'21)
- Quantitative vessel tortuosity: A potential CT imaging biomarker for distinguishing lung granulomas from adenocarcinomasMehdi Alilou, Mahdi Orooji, Niha G. Beig, Prateek Prasanna, Prabhakar Shantha Rajiah, Christopher Donatelli, Vamsidhar Velcheti, Sagar Rakshit, Michael Yang, Frank J. Jacono et al. · 2018 · Scientific Reports
- Distributed deep learning across multisite datasets for generalized CT hemorrhage segmentationRemedios, Samuel W., Roy, Snehashis, Bermudez, Camilo, Patel, Mayur B., Butman, John A., Landman, Bennett A., Pham, Dzung L. · 2020 · Medical Physics
- A deep learning model for molecular label transfer that enables cancer cell identification from histopathology imagesAndrew Su, HoJoon Lee, Xiao Tan, Carlos Jose Suarez, Noemi Andor, Quan Hoang Nguyen, Hanlee P. Ji · 2022 · npj Precision Oncology
- The ABC of algorithmic aversion: not agent, but benefits and control determine the acceptance of automated decision-makingGabi Schaap, Tibor Bosse, Paul Hendriks Vettehen · 2023 · AI & Society
- Unsupervised and supervised learning with neural network for human transcriptome analysis and cancer diagnosisBo Yuan, Dong Yang, Bonnie E. G. Rothberg, Hao Chang, Tian Xu · 2020 · Scientific Reports
- A Review on Deep Learning Architecture and Methods for MRI Brain Tumour SegmentationM Angulakshmi, M. Deepa · 2021 · Current Medical Imaging Formerly Current Medical Imaging Reviews
- COVID-GATNet: A Deep Learning Framework for Screening of COVID-19 from Chest X-Ray ImagesJunfeng Li, Dehai Zhang, Qing Liu, Rongjing Bu, Qi Wei · 2020 · IEEE International Conference on Computer and Communications (ICCC)
- Deep Learning Based Staging of Bone Lesions From Computed Tomography ScansSamira Masoudi, Sherif Mehralivand, Stephanie A. Harmon, Nathan S. Lay, Liza Lindenberg, Esther Mena, Peter A. Pinto, Deborah E. Citrin, James L. Gulley, Bradford J. Wood et al. · 2021 · IEEE Access
- A Benchmark for Breast Ultrasound Image Segmentation (BUSIS)Min Xian, Yingtao Zhang, Heng-Da Cheng, Fei Xu, Kuan Huang, Boyu Zhang, Jianrui Ding, Chunping Ning, Ying Wang · 2018 · arXiv (Cornell University)
- The NITRDrone Dataset to Address the Challenges for Road Extraction from Aerial ImagesTanmay Kumar Behera, Sambit Bakshi, Pankaj Kumar, Michele Nappi, Aniello Castiglione, Pandi Vijayakumar, Brij Bhooshan Gupta · 2022 · Journal of Signal Processing Systems
- Bridging Computational Features Toward Multiple Semantic Features with Multi-task Regression: A Study of CT Pulmonary NodulesSihong Chen, Dong Ni, Jing Qin, Baiying Lei, Tianfu Wang, Jie‐Zhi Cheng · 2016 · Lecture notes in computer science
- Automatic Grading System for Diabetic Retinopathy Diagnosis Using Deep Learning Artificial Intelligence SoftwareXiangning Wang, Ling Dai, Shu‐Ting Li, Hongyu Kong, Bin Sheng, Qiang En Wu · 2020 · Current Eye Research
- Application of machine learning approaches to administrative claims data to predict clinical outcomes in medical and surgical patient populationsEmily J. MacKay, Michael D. Stubna, Corey Chivers, Michael E. Draugelis, William J. Hanson, Nimesh D. Desai, Peter W. Groeneveld · 2021 · PLoS ONE
- Artificial intelligence techniques for prediction of drug synergy in malignant diseases: Past, present, and futurePooja Rani, Kamlesh Dutta, Vijay Kumar · 2022 · Computers in Biology and Medicine
- 3D-Brain Segmentation Using Deep Neural Network and Gaussian Mixture ModelManh-Duy Nguyen, Huy T. Vu, Huy Quang Ung, Binh Thanh Nguyen · 2017 · IEEE Winter Conference on Applications of Computer Vision
- Deep Learning Prediction of Mild Cognitive Impairment using Electronic Health RecordsSajjad Fouladvand, Michelle M. Mielke, Maria E. Vassilaki, Jennifer L. St. Sauver, Ronald Carl Petersen, Sunghwan Sohn · 2019 · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
- Screening and diagnosis of colorectal cancer and advanced adenoma by Bionic Glycome method and machine learning.Yiqing Pan, Lei Zhang, Rongrong Zhang, Jing Han, Wenjun Qin, Yong Gu, Jichen Sha, Xiaoyan Xu, Yi Feng, Zhipeng Ren et al. · 2021 · PubMed Central
- Applications of Deep Learning in Healthcare and BiomedicineShubham Mittal, Yasha Hasija · 2019 · Studies in big data
- The Usefulness of Gradient-Weighted CAM in Assisting Medical DiagnosesJong-Chih Chien, Jiann-Der Lee, Ching-Shu Hu, Chieh‐Tsai Wu · 2022 · Applied Sciences
- Breast lesion classification based on dynamic contrast-enhanced magnetic resonance images sequences with long short-term memory networksNatalia Antropova, Benjamin Q. Huynh, Hui Li, Maryellen Lissak Giger · 2018 · Journal of medical imaging
- Sağlık Alanında Kullanılan Derin Öğrenme YöntemleriUmut Kaya, Atınç Yılmaz, Yalım Dikmen · 2019 · European Journal of Science and Technology
- Microwave bone fracture diagnosis using deep neural networkSina Beyraghi, Fardin Ghorbani, Javad Shabanpour, Mir Emad Lajevardi, Vahid Nayyeri, Pai‐Yen Chen, Omar Mustafa Ramahi · 2023 · Scientific Reports
- Lung nodule malignancy classification with associated pulmonary fibrosis using 3D attention-gated convolutional network with CT scansYucheng Liu, Hao Yun Hsu, Tiffany Lin, Boyu Peng, Anjali Saqi, Mary M. Salvatore, Sachin Jambawalikar · 2024 · Journal of Translational Medicine
- Application of artificial intelligence in cancer diagnosis and tumor nanomedicineJunhao Wang, Guan Liu, Cheng Ping Zhou, Xinyuan Cui, Wei Wang, Jiulin Wang, Yixin Huang, Jinlei Jiang, Zhitao Wang, Zengyi Tang et al. · 2024 · Nanoscale
- A CADe system for nodule detection in thoracic CT images based on artificial neural networkXinglong Liu, Fei Hou, Hong Qin, Aimin Hao · 2017 · Science China Information Sciences
- Context aware decision support in neurosurgical oncology based on an efficient classification of endomicroscopic dataYachun Li, Patra Charalampaki, Yong Liu, Guang‐Zhong Yang, Stamatia Giannarou · 2018 · International Journal of Computer Assisted Radiology and Surgery
- Ontology-based venous thromboembolism risk assessment model developing from medical recordsYuqing Yang, Xin Wang, Yu Huang, Ning Chen, Juhong Shi, Ting Chen · 2019 · BMC Medical Informatics and Decision Making
- Using Convolutional Neural Network with Cheat Sheet and Data Augmentation to Detect Breast Cancer in MammogramsSaleem Z. Ramadan · 2020 · Computational and Mathematical Methods in Medicine
- Machine Learning in Point of Care UltrasoundMomodou L. Sonko, Thomas Arnold, Ivan A. Kuznetsov · 2022 · POCUS Journal
- The pneumonia severity index: Assessment and comparison to popular machine learning classifiersDawei Wang, Deanna R. Willis, Yuehwern Yih · 2022 · International Journal of Medical Informatics
- Joint Localization and Classification of Breast Cancer in B-Mode Ultrasound Imaging via Collaborative Learning With ElastographyWeichang Ding, Jun Wang, Weijun Zhou, Shichong Zhou, Cai Chang, Jun Shi · 2022 · IEEE Journal of Biomedical and Health Informatics
- Spatial Coherence in Medical Ultrasound: A ReviewJames Long, Gregg E. Trahey, Nick B. Bottenus · 2022 · Ultrasound in Medicine & Biology
- A hybrid enhanced attention transformer network for medical ultrasound image segmentationTao Jiang, Wenyu Xing, Ming Yang Yu, Dean Ta · 2023 · Biomedical Signal Processing and Control
- Automatic recognition of 3D GGO CT imaging signs through the fusion of hybrid resampling and layer-wise fine-tuning CNNsGuanghui Han, Xiabi Liu, Guangyuan Zheng, Murong Wang, Shan Huang · 2018 · Medical & Biological Engineering & Computing
- Pulmonary Nodule Classification Using Feature and Ensemble Learning-Based Fusion TechniquesMuhammad Junaid Muzammil, Imdad Ali, Ihsan Ul Haq, Muhammad Amir, Suheel Abdullah · 2021 · IEEE Access
- SliceMamba With Neural Architecture Search for Medical Image SegmentationChao Fan, Hongyuan Yu, Yan Huang, Liang Wang, Zhenghan Yang, Xibin Jia · 2025 · IEEE Journal of Biomedical and Health Informatics
- Comparing Artificial Intelligence Platforms for Histopathologic Cancer Diagnosis.Andrew Borkowski, Catherine P. Wilson, Steven A. Borkowski, L. Brannon Thomas, Lauren A. Deland, Stefanie Grewe, Stephen Mastorides · 2019 · PubMed Central
- Breast nodule classification with two-dimensional ultrasound using Mask-RCNN ensemble aggregationEwan Evain, Caroline Raynaud, Cybèle Ciofolo, Alexandre Popoff, Thomas Caramella, P. Kbaier, Corinne Balleyguier, Sana Harguem, Héloïse Dapvril, Luc Ceugnart et al. · 2021 · Diagnostic and Interventional Imaging
- Classification of malignant and benign lung nodules using taxonomic diversity index and phylogenetic distanceRobherson Wector de Sousa Costa, Giovanni L. F. da Silva, Antônio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass · 2018 · Medical & Biological Engineering & Computing
- Research on the Classification of Benign and Malignant Parotid Tumors Based on Transfer Learning and a Convolutional Neural NetworkHongbin Zhang, Huicheng Lai, Yan Wang, Xiaoyi Lv, Yue Hong, Jianming Peng, Ziwei Zhang, Chen Chen, Cheng Chen · 2021 · IEEE Access
- CT classification model of pancreatic serous cystic neoplasms and mucinous cystic neoplasms based on a deep neural networkRong Yang, Yizhou Chen, Guo Sa, Kangjie Li, Haigen Hu, Jie Zhou, Qiu Guan, Feng Chen · 2021 · Abdominal Radiology
- Using artificial intelligence to assist radiologists in distinguishing COVID-19 from other pulmonary infectionsYanhong Yang, Fleming Y. M. Lure, Hengyuan Miao, Ziqi Zhang, Stefan Jaeger, Jinxin Liu, Lin Guo · 2020 · Journal of X-Ray Science and Technology
- Integrating Artificial Intelligence into Biomedical Science Curricula: Advancing Healthcare EducationAarti Sharma, Amal Al-Haidose, Maha Al‐Asmakh, Atiyeh M. Abdallah · 2024 · Clinics and Practice
- Classification of X-Ray Images for Pneumonia Detection Using Texture Features and Neural NetworksSergio Varela-Santos, Patricia Melín · 2020 · Studies in computational intelligence
- Automated detection of poor-quality data: case studies in healthcareM. A. Dakka, Tuc Nguyen, Jonathan M. M. Hall, Sonya M. Diakiw, Matthew David VerMilyea, Rebecca J. Linke, Michelle Perugini, Don Perugini · 2021 · Scientific Reports
- PHYSICIANS’ ATTITUDE TOWARDS ARTIFICIAL INTELLIGENCE IN MEDICINE, THEIR EXPECTATIONS AND CONCERNS: AN ONLINE MOBILE SURVEYMuhammad Alimin Mat Reffien, Ellyana Mohamad Selamat, Hanani Nabilah Mohd Sobri, Mohd Fathulzhafran Mohamed Hanan, Mohd Ihsanuddin Abas, Muhammad Faiz Mohd Ishak, Noor Atika Azit, Noor Dalila Inche Zainal Abidin, Nor Hazmi Noor Hassim, Norain Ahmad et al. · 2021 · Malaysian Journal of Public Health Medicine
- Improving the performance of lung nodule classification by fusing structured and unstructured dataNing Tang, Rui Zhang, Zeliang Wei, Xicheng Chen, Gaoming Li, Qiuyue Song, Dong Yi, Yazhou Wu · 2022 · Information Fusion