Automatic Breast Cancer Detection with Mammography Approach Using Deep Learning Algorithm
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-3878-0_32
Reference23 articles.
1. Al-Antari MA, Hanmandlu M, Al-Masni MA (2018) Breast cancer detection using deep learning techniques: a review. J Med Syst 42(8):141. https://doi.org/10.1007/s10916-018-1001-6. Suh YJ, Jung J, Cho BJ (2020) Automated breast cancer detection in digital mammograms of various densities via deep learning. J Pers Med 10(4):211. PMID: 33172076, PMCID: PMC7711783. https://doi.org/10.3390/jpm10040211
2. Sahiner B, Pezeshk A, Hadjiiski L, Wang X, Drukker K, Cha K, Zhang Y (2020) Detection of breast cancer with mammography: effectiveness of deep learning convolutional neural networks in the classification of microcalcifications. Radiology 200642. https://doi.org/10.1148/radiol.2020200642
3. Kaur R, Kumar A, Singh D (2021) Breast cancer detection from mammograms using VGG16 convolutional neural network. Int J Adv Sci Technol 30(3):12997–13005. https://sersc.org/journals/index.php/IJAST/article/view/25409
4. Li Y, Liu H, Shen Z, Sun L, Jiang H (2020) Breast cancer detection using a deep convolutional neural network with transfer learning. Front Bioeng Biotechnol 8:832. https://doi.org/10.3389/fbioe.2020.00832
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