Breast mass lesion classification in mammograms by transfer learning-Reference-Cited by-同舟云学术

Breast mass lesion classification in mammograms by transfer learning

Published:2017-01-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 5th International Conference on Bioinformatics and Computational Biology
language:
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Author:

Jiang Fan¹,Liu Hui²,Yu Shaode³,Xie Yaoqin³

Affiliation:

1. Shenzhen Institutes of Advanced Technology, Shenzhen, China and Kunming University of Science and Technology, Kunming, China

2. Kunming University of Science and Technology, Kunming, China

3. Shenzhen Institutes of Advanced Technology, Shenzhen, China

Funder

Guangdong province program

Guangdong Innovative Research Team Program

Shenzhen Fundamental Research Program

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3035012.3035022

Reference27 articles.

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2. L. Fan K. Strasser-Weippl J.J. Li and et al. Breast can-cer in China. The lancet oncology 15(7) (2014) e279-e289. L. Fan K. Strasser-Weippl J.J. Li and et al. Breast can-cer in China. The lancet oncology 15(7) (2014) e279-e289.

3. Effect of Three Decades of Screening Mammography on Breast-Cancer Incidence

4. Mammography screening: an incremental cost effectiveness analysis of double versus single reading of mammograms

5. Y. Jiang R.M. Nishikawa R.A. Schmidt and et al. Improving breast cancer diagnosis with computer-aided diagnosis. Academic radiology 6(1) (1999) 22--33. Y. Jiang R.M. Nishikawa R.A. Schmidt and et al. Improving breast cancer diagnosis with computer-aided diagnosis. Academic radiology 6(1) (1999) 22--33.

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