A novel hybrid deep CNN model for breast cancer classification using Lipschitz-based image augmentation and recursive feature elimination
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Published:2024-09
Issue:
Volume:95
Page:106406
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ISSN:1746-8094
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Container-title:Biomedical Signal Processing and Control
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language:en
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Short-container-title:Biomedical Signal Processing and Control
Author:
Kollem SreedharORCID,
Sirigiri Chandrasekhar,
Peddakrishna SamineniORCID
Reference69 articles.
1. R.L. Siegel, K.D. Miller, H.E. Fuchs, A. Jemal, Cancer statistics, 2022. CA: Cancer J. Clin., 72(1) (2022) 7-33.
2. Current cancer situation in China: good or bad news from the 2018 Global Cancer Statistics?;Feng;Cancer Commun.,2019
3. Breast cancer detection techniques: issues and challenges;Jaglan;J. Inst. Eng. (India): Series B,2019
4. A computational method to assist the diagnosis of breast disease using dynamic thermography;Silva;Sensors,2020
5. An overview of mammographic density and its association with breast cancer;Nazari;Breast Cancer,2018
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