Published on in Vol 9 (2025)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/62996, first published
.
Deep Learning for the Early Detection of Invasive Ductal Carcinoma in Histopathological Images: Convolutional Neural Network Approach With Transfer Learning
Deep Learning for the Early Detection of Invasive Ductal Carcinoma in Histopathological Images: Convolutional Neural Network Approach With Transfer Learning
Journals
- Singh M, Singh C, Chauhan K, Rajpoot G, Jain C. AI-mediated immunotherapeutics in adenoid cystic carcinoma: Challenges and current perspectives. Critical Reviews in Oncology/Hematology 2025;216:104984 View
- Hadjadj R, Bouramoul A. DL-Driven Model for Accurate Detection of Breast Cancer from Histopathology Images: Clinically Validated on Algerian Medical Data. International Journal of Informatics and Applied Mathematics 2026;8(2):37 View
- Jose A, Ezziane Z. Breast cancer detection using BCDNet convolutional neural network. Array 2026;29:100711 View
- Bohra M, Singh K, Kumar I, Shah M. Wavelet-CNN Feature Fusion Architecture for Robust Breast Cancer Classification in Histopathological Imaging. International Journal of Computational Intelligence Systems 2026;19(1) View
- Wan T, Sang X, Wu Z, Li L, Liu N, Yi H. Reducing false positives in breast cancer screening with computer-aided detection. Clinical and Experimental Medicine 2026;26(1) View
Books/Policy Documents
- Hadjadj R, Bouramoul A, Benmerzoug D, Daddiouamer R, Abdessalam L. Proceedings of the 8th International Conference on Informatics and Applied Mathematics (IAM’25). View
Conference Proceedings
- Byahatti H, Das P, Nath D, Hait S. 2026 IEEE 1st International Conference on Instrumentation (INSTCon). A Comparison of CNN Architectures for IDC Identification Using Transfer Learning on Enhanced VGG19 View