Detection and classification of the breast abnormalities in digital mammograms via regional Convolutional Neural Network

Author:

Al-masni M. A.,Al-antari M. A.,Park J. M.,Gi G.,Kim T. Y.,Rivera P.,Valarezo E.,Han S.-M.,Kim T.-S.

Publisher

IEEE

Cited by 84 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Deep learning empowered breast cancer diagnosis: Advancements in detection and classification;PLOS ONE;2024-07-11

2. From single to universal: tiny lesion detection in medical imaging;Artificial Intelligence Review;2024-07-04

3. ERetinaNet: An Efficient Neural Network Based on RetinaNet for Mammographic Breast Mass Detection;IEEE Journal of Biomedical and Health Informatics;2024-05

4. Unsupervised feature correlation model to predict breast abnormal variation maps in longitudinal mammograms;Computerized Medical Imaging and Graphics;2024-04

5. Breast Cancer Detection System;International Journal of Advanced Research in Science, Communication and Technology;2024-03-23

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