A machine learning model for detecting invasive ductal carcinoma with Google Cloud AutoML Vision.

Journal: Computers in biology and medicine

Published Date: Jul 1, 2020

Abstract

OBJECTIVES: This study is aimed to assess the feasibility of AutoML technology for the identification of invasive ductal carcinoma (IDC) in whole slide images (WSI).

Authors

Yan Zeng

Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jinmiao Zhang

Cardinal Health, Inc., USA. Electronic address: jinmiao.zhang@cardinalhealth.com.

Keywords

Carcinoma, Ductal Humans Machine Learning Neural Networks, Computer

External Resources

View on PubMed Access via DOI PubMed (32658738)

A machine learning model for detecting invasive ductal carcinoma with Google Cloud AutoML Vision.

Abstract

Authors

Keywords

External Resources

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