Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans

Cited by (746)

Items 701–746 of 746

  1. Peer Review #2 of "A retrospective study of 3D deep learning approach incorporating coordinate information to improve the segmentation of pre- and post-operative abdominal aortic aneurysm (v0.1)"
    2022 · PeerJ Computer Science
  2. Peer Review #1 of "A retrospective study of 3D deep learning approach incorporating coordinate information to improve the segmentation of pre- and post-operative abdominal aortic aneurysm (v0.1)"
    2022 · PeerJ Computer Science
  3. Deep learning for an improved diagnostic pathway of prostate cancer in a small multi-parametric magnetic resonance data regime
    Álvaro Fernández-Quilez · 2022
  4. A Novel Master-Slave Architecture to Detect COVID-19 in Chest X-ray Image Sequences Using Transfer-Learning Techniques
    Abeer A. Aljohani, Nawaf Alharbe · 2022 · Healthcare
  5. Radiomics and artificial intelligence
    Samuele Ghezzo, Carolina Bezzi, Ilaria Neri, Paola Mapelli, Luca Presotto, Ana Maria Samanes Gajate, Valentino Bettinardi, Valentina Garibotto, Francesco DE COBELLI, Paola Scifo et al. · 2022 · Elsevier eBooks
  6. An Approach for COVID-19 Identification from Chest X-ray Images Using High-Resolution Networks
    Nghia Vo-Dinh, Anh Ha-Bao, Hieu Trung Huynh · 2022 · RIVF International Conference on Computing and Communication Technologies (RIVF)
  7. In pursuit of precision medicine for brain injury and neurotoxicity and improved protection of human health
    William Slikker, Leihong Wu, Joshua Xu, Timothy J. Shafer · 2023 · Elsevier eBooks
  8. Defense Against Adversarial Attacks Based on Color Space Transformation
    Chunhua Wu, Kangfeng Zheng, Haoyu Wang · 2023 · SSRN Electronic Journal
  9. An Effective Method for Lung Tumor Screening Using CT Dataset
    Islem Daassi, Amine Ben Slama, Sabri Barbaria, Mounir Sayadi, Hédi Trabelsi · 2023 · IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)
  10. The Application of Online-Offline Mixed Teaching Mode in Computer Teaching in Colleges and Universities in the Context of Internet+
    Yingying Mei · 2023 · Applied Mathematics and Nonlinear Sciences
  11. Research on the Reform of Ancient Chinese and Modern Chinese Language Teaching in the Context of Deep Learning
    Jingyang Lei · 2023 · Applied Mathematics and Nonlinear Sciences
  12. Protein-ion binding site prediction using deep learning
    Clement Essien · 2023
  13. The Impact of Artificial Intelligence on the Uptake of Mammography Screenings in Women
    Charles Beverley · 2024 · Journal of Quality in Health Care & Economics
  14. DeepQCT: Predicting Fragility Fracture from High-Resolution Peripheral Quantitative CT Using Deep Learning
    Fangyuan Chen, Lijia Cui, Qiao Jin, Yushuo Wu, Jiaqi Li, Yan Jiang, Yue Chi, Ruizhi Jiajue, Wei Liu, Wei Yu et al. · 2024 · medRxiv
  15. Automated Staging of Diabetic Retinopathy Using Convolutional Support Vector Machine (CSVM) Based on Fundus Image Data
    Dian Candra Rini Novitasari, Fatmawati Fatmawati, Rimuljo Hendradi, Rinda Nariswari, Rizal Amegia Saputra · 2023 · JOIV International Journal on Informatics Visualization
  16. ANALYSIS OF CHALLENGES AND PERSPECTIVES IN THE ACCEPTANCE OF ARTIFICIAL INTELLIGENCE IN RADIOLOGY BY HEALTHCARE WORKERS
    Benjamin Malkic, Nihad Mešanović · 2024 · Acta Medica Saliniana
  17. Current Trends of Spinal Disease Analysis Using Machine Learning
    Rashmi Singh, Arun Babu Kumar, Jagrati Singh · 2024 · Lecture notes in electrical engineering
  18. Object Detection for Healthcare Data Using Deep Convolutional Neural Networks
    A. Veena, S Gowrishankar · 2024
  19. DCSS-UNet: UNet based on State Space Model for Polyp Segmentation
    Xiuwei Wang, Biyuan Li · 2024 · Frontiers in Computing and Intelligent Systems
  20. Artificial Intelligence (AI) in Ovarian Stimulation
    Charles L. Bormann, Christopher Ke Arkfeld · 2024 · Elsevier eBooks
  21. Image processing and computational intelligence in healthcare
    Dipali Lambhade, Aarya Nimasadkar, Surendra Satyanarayan Agrawal, Amoli Belsari · 2024 · AIP conference proceedings
  22. Artificial Intelligence for Medical Image Analysis: An Opportunity for Automation
    Chibueze A. Nwaiwu, Adrian Park · 2024 · Springer eBooks
  23. SUBTRACTIVE SPATIAL LIGHT WEIGHT MODEL WITH TREE FUSION METHOD FOR DENOISING AND RECONSTRUCTION OF LOW DOSE BRAIN TUMOR CT IMAGES
    KATARI BALAKRISHNA, A. Nagaraja Rao · 2025 · Journal of Mechanics in Medicine and Biology
  24. Automated H&E Nuclei Segmentation Using U-Net Models
    A. P. Tharani, P. Hemashree, S. B. Mahalakshmi, V. R. S. Kavitha · 2025 · Springer eBooks
  25. Navigating the Promises and Perils of Generative AI in Transforming Healthcare Services
    Sahil Kohli, Ravi Kaushal, Ashish Raina · 2025 · Advances in hospitality, tourism and the services industry (AHTSI) book series
  26. Learning collusive strategies with function approximation algorithms
    Miguel A. Ballester, Penélope Hernández · 2025 · Journal of Dynamics and Games
  27. INTELIGÊNCIA ARTIFICIAL NA MEDICINA: PROGNÓSTICO E DIAGNÓSTICO
    Leandro de Almeida Santos, Johny William dos Santos, Natan Huan Resende Campideli, Gerson Carlos Melendes Filho, Nadia Moreira Salum, Luca Amorim de Lauro, Izabella Trarbach Frank, Natália Milhomem Silva, Melquisedeque Albuquerque Landim, Teresa Marques e Silva · 2025 · Revista Contemporânea
  28. Digital Surgery
    Jonathan Gootee, Nova L. Szoka · 2025 · Springer eBooks
  29. AI for Multi-region Tumour Detection: Enhancing Human Workflow in Full-Body Scans
    S. Geetha, G. Soniya Priyatharsini, M. Rajkumar, N. Ethiraj, Victo Sudha George · 2025 · Medical virology
  30. Human vs. algorithmic auditors: the impact of entity type and ambiguity on human dishonesty
    Marius Protte, Behnud Mir Djawadi · 2025 · Frontiers in Behavioral Economics
  31. A Comprehensive Review of Representation Learning Models for Pulmonary Nodule Extraction in Lung Cancer Diagnosis
    L. Sandhya, Md. Sameeruddin Khan · 2025 · Lecture notes in networks and systems
  32. Additional file 2 of Differentiation of granulomatous nodules with lobulation and spiculation signs from solid lung adenocarcinomas using a CT deep learning model
    Wen, Yanhua, Wu, Wensheng, Yuling Liufu, Pan, Xiaohuan, Zhang, Yingying, Shouliang Qi, Guan, Yubao · 2024 · Figshare
  33. Additional file 1 of A validation of an entropy-based artificial intelligence for ultrasound data in breast tumors
    Huang, Zhibin, Keen Yang, Hongtian Tian, Huaiyu Wu, Tang, Shuzhen, Cui, Chen, Siyuan Shi, Yitao Jiang, Chen, Jing, Xu, Jinfeng et al. · 2024 · Figshare
  34. Additional file 1 of Differentiation of granulomatous nodules with lobulation and spiculation signs from solid lung adenocarcinomas using a CT deep learning model
    Wen, Yanhua, Wu, Wensheng, Yuling Liufu, Pan, Xiaohuan, Zhang, Yingying, Shouliang Qi, Guan, Yubao · 2024 · Figshare
  35. VM-MSNet: Vision Mamba-Fused Multi-Scale Feature Network for Medical Image Segmentation
    Tong Zheng, Dong Li, Xikun Meng, Yuqing Dong, Songming Zheng, Qi Liu · 2025 · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
  36. Patch-Based Convolutional Neural Network Architecture for Multi-Class Mammogram Classification
    PARTH MAURIA SAXENA, Janak Devashish · 2025 · DMIHER International Conference on Artificial Intelligence in Healthcare, Education and Industry (IDICAIHEI)
  37. Utilisation de méthodes radiomiques pour la prédiction des réponses à l’immunothérapie et combinaisons de radioimmunothérapie chez des patients atteints de cancers
    Roger Sun · 2020 · theses.fr (ABES)
  38. New radiomics approaches for hepatic tumor characterization through imaging analysis
    Farid Ouhmich · 2021
  39. Utilisation des Big Data pour l'identification des effets indésirables médicamenteux et des maladies : exemple de l'insuffisance rénale aiguë
    Amayelle Rey · 2022 · theses.fr (ABES)
  40. Modèles prédictifs & raisonnement avec les explications
    Ryma Boumazouza · 2022 · theses.fr (ABES)
  41. Bước đầu đánh giá khả năng nhận biết rung nhĩ bởi trí tuệ nhân tạo Kardia Alivecor Sử dụng thiết bị ghi điện tâm đồ lưu động
    Le Tuan Thanh, Phan Đình Phong, Đỗ Doãn Bách, Apurv Soni, Jeroan J Allison · 2019 · Tạp chí Tim Mạch Học Việt Nam
  42. Role of artificial intelligence in health sector: review of literature
    Kamlesh Sharma, Ram Lal Sharma · 2026 · International Journal of Community Medicine and Public Health
  43. A survey of automated breast lesion classification using mammograms
    C. Sasikala, Gowtham R., R. J. Hemalatha, Yuvarajan M., Nadhin Abinav S. A. · 2026 · AIP conference proceedings
  44. Data-efficient neuroimaging classification via Wasserstein Autoencoder–based augmentation and hybrid deep learning
    Priya Mathur, Amit Kumar Gupta‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Farhan Sheth · 2026 · Discover Computing
  45. Гибридная архитектура на основе ResNet-50, Vision Transformers и радиомики для интерпретируемой классификации микрокальцинатов в маммографии
    Х. Алсаджер, Yuriy N. Philippovich, Tatiana Valentinovna Beketova · 2025 · Sovremennye informacionnye tehnologii i IT-obrazovanie.
  46. Learning Deep Representations of Medical Images using Siamese CNNs with Application to Content-Based Image Retrieval
    Chung, Yu-An, Weng, Wei-Hung · 2017 · arXiv