Machine Learning | Oncology | Pathology Deep-learning model to improve histological grading and predict upstaging of atypical ductal hyperplasia / ductal carcinoma in situ on breast biopsy. January 30, 2024
Oncology | Radiology Unsupervised feature correlation model to predict breast abnormal variation maps in longitudinal mammograms. January 26, 2024
Pathology | Radiology Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions. January 24, 2024
Radiology Impact of GAN artifacts for simulating mammograms on identifying mammographically occult cancer. October 16, 2023
Deep Learning | Machine Learning | Oncology | Radiology Development of an Artificial Intelligence-Based Breast Cancer Detection Model by Combining Mammograms and Medical Health Records. February 11, 2023
Radiology Using global feedback to induce learning of gist of abnormality in mammograms. January 8, 2023
Radiology TrEnD: A transformer-based encoder-decoder model with adaptive patch embedding for mass segmentation in mammograms. January 7, 2023
Pathology | Radiology The Role of Deep Learning in Advancing Breast Cancer Detection Using Different Imaging Modalities: A Systematic Review. November 11, 2022
Oncology | Radiology Transformers Improve Breast Cancer Diagnosis from Unregistered Multi-View Mammograms. September 15, 2022
Pathology | Radiology Artificial intelligence for breast cancer analysis: Trends & directions. January 11, 2022
Radiology Multi- class classification of breast cancer abnormalities using Deep Convolutional Neural Network (CNN). August 26, 2021
Oncology | Radiology Reviewing Machine Learning and Image Processing Based Decision-Making Systems for Breast Cancer Imaging. January 6, 2021