Fusion of local and global features for classification of abnormality in mammograms

Author:

Phadke Anuradha C,Rege Priti P

Funder

Board of College and University Development, Savitribai Phule Pune UnivarsityUniv

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Cited by 27 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. Breast Cancer: Automatic Detection from Mammogram Images by Utilizing Deep Learning Methods;Emerging Technologies in Electrical Engineering for Reliable Green Intelligence;2024

2. Diagnosing of Malignant and Benign Breast Cancers: Using a Metasearch Neural Propagation Classifier;IETE Journal of Research;2023-07-27

3. A Review of Machine Learning Techniques for the Classification and Detection of Breast Cancer from Medical Images;Diagnostics;2023-07-24

4. False-negative diagnosis might occur due to absence of the global radiomic signature of malignancy on screening mammograms;Medical Imaging 2023: Image Perception, Observer Performance, and Technology Assessment;2023-04-03

5. A survey of mammographic images based breast cancer detection using traditional and conventional approaches;INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE “INNOVATIVE TECHNOLOGIES IN AGRICULTURE”;2023

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