Detection of Breast Cancer from Mammograms using a Hybrid Approach of Deep Learning and Linear Classification
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8521418/8537238/08537250.pdf?arnumber=8537250
Cited by 11 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. Prediction of Near-Term Breast Cancer Occurrence using Subtraction of Temporally Sequential Digital Mammograms;2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2023-07-24
2. Breast Cancer Detection in Mammography Images: A CNN-Based Approach with Feature Selection;Information;2023-07-16
3. Classification of Breast Cancer in Mammograms Using an Optimized Hybrid Deep Learning Models and Feature Fusion Techniques;2023-02-01
4. Vision-Transformer-Based Transfer Learning for Mammogram Classification;Diagnostics;2023-01-04
5. Benign and Malignant Breast Mass Detection and Classification in Digital Mammography: The Effect of Subtracting Temporally Consecutive Mammograms;2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI);2022-09-27
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