[Automatic Segmentation of Digital Pathology Slides Based on Unsupervised Learning].

Journal: Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition

Published Date: Sep 1, 2021

OBJECTIVE: To segment images through an unsupervised method as an alternative to manual labeling.

Hang-Yu Qin

Institute of Clinical Pathology, West China Hospital, Sichuan University, Chengdu 610041, China.
Yang Deng

Laboratory of Pathology Key Laboratory of Transplant Engineering and Immunology NHC, West China Hospital Sichuan University Chengdu China.
Yan-Yan Zhou

Institute of Clinical Pathology, West China Hospital, Sichuan University, Chengdu 610041, China.
Hong-Hong Liu

Institute of Clinical Pathology, West China Hospital, Sichuan University, Chengdu 610041, China.
Li Li

Department of Gastric Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China.
Qi-Qi Zhou

Institute of Clinical Pathology, West China Hospital, Sichuan University, Chengdu 610041, China.
Juan Mei

Institute of Clinical Pathology, West China Hospital, Sichuan University, Chengdu 610041, China.
Hong Bu

Laboratory of Pathology Key Laboratory of Transplant Engineering and Immunology NHC, West China Hospital Sichuan University Chengdu China.
Ji Bao

Laboratory of Pathology Key Laboratory of Transplant Engineering and Immunology NHC, West China Hospital Sichuan University Chengdu China.

Algorithms Breast Humans Neural Networks, Computer Unsupervised Machine Learning

View on PubMed Access via DOI PubMed (34622598)