This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (3344) Innovations and Technology for Cancer Prevention and Screening (207) Cancer Prognosis Models and Machine Learning (72) Breast Cancer (302) Clinical Information and Decision Making (2001) Artificial Intelligence (2246) Imaging Informatics (317) Machine Learning (2166) Ontologies, Classifications, and Coding (337)

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

Deep Learning for the Early Detection of Invasive Ductal Carcinoma in Histopathological Images: Convolutional Neural Network Approach With Transfer Learning

Authors of this article:

Naga Shreya Chilumukuru1 Author Orcid Image ;   Pragya Priyadarshini1 Author Orcid Image ;   Yawo Ezunkpe2 Author Orcid Image
Article Authors Cited by (2) Tweetations (4) Metrics

Journals

  1. 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
  2. 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