Automatic detection of breast cancer for mastectomy based on MRI images using Mask R-CNN and Detectron2 models
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-023-09237-x.pdf
Reference38 articles.
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2. Wang L (2017) Early diagnosis of breast cancer. Sensors (Switzerland). https://doi.org/10.3390/s17071572
3. Sivasangari A, Ajitha P, Bevishjenila, Vimali JS, Jose J, Gowri S (2022) Breast cancer detection using machine learning. Lect Notes Data Eng Commun Technol 68(07):693–702. https://doi.org/10.1007/978-981-16-1866-6_50
4. Kim CM, Park RC, Hong EJ (2020) Breast mass classification using eLFA algorithm based on CRNN deep learning model. IEEE Access 8:197312–197323. https://doi.org/10.1109/ACCESS.2020.3034914
5. Jones EF et al (2020) Current landscape of breast cancer imaging and potential quantitative imaging markers of response in er-positive breast cancers treated with neoadjuvant therapy. Cancers (Basel) 12(6):1–24. https://doi.org/10.3390/cancers12061511
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