Breast Cancer Classification Using a Novel Image Processing Pipeline and a Two-Stage Deep Learning Segmentation and Classification Approach
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-1479-1_54
Reference31 articles.
1. Oza P et al (2022) Computer-aided breast cancer diagnosis: a study of breast imaging modalities and mammogram repositories. In: Current medical imaging
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3. Patel HJ, Oza P, Agrawal S (2022) AI approaches for breast cancer diagnosis: a comprehensive study. In: International conference on innovative computing and communications. Springer, Singapore
4. World Cancer Research Fund International (WCRFI). Breast cancer statistics 2022. https://www.wcrf.org/cancer-trends/breast-cancer-statistics/
5. Oza P, Sharma P, Patel S (2022) A drive through computer-aided diagnosis of breast cancer: a comprehensive study of clinical and technical aspects. In: Recent innovations in computing, pp 233–249
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