A comparative study of breast cancer tumor classification by classical machine learning methods and deep learning method
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Computer Vision and Pattern Recognition,Hardware and Architecture,Software
Link
https://link.springer.com/content/pdf/10.1007/s00138-020-01094-1.pdf
Reference41 articles.
1. Saki, F., Tahmasbi, A., Soltanian-Zadeh, H., Shokouhi, S.B.: Fast opposite weight learning rules with application in breast cancer diagnosis. Comput. Biol. Med. 43(1), 32–41 (2013)
2. Mousa, D.S.A., Mello-Thoms, C., Ryan, E.A., Lee, W.B., Pietrzyk, M.W., Reed, W.M., Heard, R., Poulos, A., Tan, J., Li, Y., et al.: Mammographic density and cancer detection: does digital imaging challenge our current understanding? Acad. Radiol. 21(11), 1377–1385 (2014)
3. Anitha, J., Peter, J.D.: Mammogram segmentation using maximal cell strength updation in cellular automata. Med. Biol. Eng. Comput. 53(8), 737–749 (2015)
4. Sirinukunwattana, K., Snead, D.R., Rajpoot, N.M.: A stochastic polygons model for glandular structures in colon histology images. IEEE Trans. Med. Imaging 34(11), 2366–2378 (2015)
5. Farjam, R., Soltanian-Zadeh, H., Jafari-Khouzani, K., Zoroofi, R.A.: An image analysis approach for automatic malignancy determination of prostate pathological images. Cytom. Part B Clin. Cytom. J. Int. Soc. Anal. Cytol. 72(4), 227–240 (2007)
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