Deep convolutional network for breast cancer classification: enhanced loss function (ELF)
Author:
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems,Theoretical Computer Science,Software
Link
http://link.springer.com/content/pdf/10.1007/s11227-020-03157-6.pdf
Reference25 articles.
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2. Vo DM, Nguyen N-Q, Lee S-W (2019) Classification of breast cancer histology images using incremental boosting convolution networks. Inf Sci 482:123–138
3. Jadoon MM, Zhang Q, Haq IU, Butt S, Jadoon A (2017) Three-class mammogram classification based on descriptive cnn features. BioMed Res Int 3640901:11. https://doi.org/10.1155/2017/3640901
4. Wahab N, Khan A, Lee YS (2017) Two-phase deep convolutional neural network for reducing class skewness in histopathological images based breast cancer detection. Comput Bio Med 85:86–97
5. Xie J, Liu R, Luttrell J, Zhang C (2019) Deep learning based analysis of histopathological images of breast cancer. Front Genet 10:80
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