Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms.

Breast cancer is the most common cancer in women, and hundreds of thousands of unnecessary biopsies are done around the world at a tremendous cost. It is crucial to reduce the rate of biopsies that turn out to be benign tissue. In this study, we build deep neural networks (DNNs) to classify biopsied...

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Publicado en:	Journal of Digital Imaging Vol. 34; no. 6; pp. 1414 - 1424
Autores principales:	Wu, Nan, Huang, Zhe, Shen, Yiqiu, Park, Jungkyu, Phang, Jason, Makino, Taro, Gene Kim, S., Cho, Kyunghyun, Heacock, Laura, Moy, Linda, Geras, Krzysztof J.
Formato:	diagnostic images research tables/charts Journal Article
Publicado:	Springer Nature Dec2021
Acceso en línea:	Ver este registro en EBSCOhost