Asymmetry and Architectural Distortion Detection with Limited Mammography Data

Author:

Cao Zhenjie,Zhou Xiaoyun,Tang Yuxing,Han Mei,Xiao Jing,Ma Jie,Chang Peng

Publisher

Springer Nature Switzerland

Reference33 articles.

1. Bachman, P., Hjelm, R.D., Buchwalter, W.: Learning representations by maximizing mutual information across views. In: Advances in Neural Information Processing Systems, vol. 32, pp. 15535–15545. Curran Associates, Inc. (2019)

2. Ben-Ari, R., Akselrod-Ballin, A., Karlinsky, L., Hashoul, S.: Domain specific convolutional neural nets for detection of architectural distortion in mammograms. In: 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), pp. 552–556. IEEE (2017)

3. Berg, A.W.A., Leung, J.: Diagnostic Imaging: Breast, 3rd edn. Elsevier, Amsterdam (2019)

4. Bowyer, K., et al.: The digital database for screening mammography. In: Third International Workshop on Digital Mammography, vol. 58, p. 27 (1996)

5. Lecture Notes in Computer Science;Z Cao,2021

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