Categorization of Breast Carcinoma Histopathology Images by Utilizing Region-Based Convolutional Neural Networks
Author:
Funder
Çukurova Üniversitesi
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-023-08387-3.pdf
Reference50 articles.
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2. Yadavendra; Chand, S.: A comparative study of breast cancer tumor classification by classical machine learning methods and deep learning method. Vision Appl. Mach (2020). https://doi.org/10.1007/s00138-020-01094-1
3. Sharma, S.; Mehra, R.: Conventional machine learning and deep learning approach for multi-classification of breast cancer histopathology images-a comparative insight. J. Digital Imaging (2020). https://doi.org/10.1007/s10278-019-00307-y
4. Boumaraf, S.; Liu, X.; Wan, Y.; Zheng, Z.; Ferkous, C.; Ma, X.; Li, Z.; Bardou, D.: Conventional machine learning versus deep learning for magnification dependent histopathological breast cancer image classification: A comparative study with visual explanation. Diagnostics (2021). https://doi.org/10.3390/diagnostics11030528
5. Komura, D.; Ishikawa, S.: Machine learning methods for histopathological image analysis. Comput. Struct. Biotechnol. J. 16, 34–42 (2018). https://doi.org/10.1016/j.csbj.2018.01.001
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