Gland Instance Segmentation Using Deep Multichannel Neural Networks.

Journal: IEEE transactions on bio-medical engineering

Published Date: Mar 23, 2017

Abstract

OBJECTIVE: A new image instance segmentation method is proposed to segment individual glands (instances) in colon histology images. This process is challenging since the glands not only need to be segmented from a complex background, they must also be individually identified.

Authors

Yan Xu

Department of Nephrology, Suzhou Ninth People's Hospital, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou, China.
Yang Li

Occupation of Chinese Center for Disease Control and Prevention, Beijing, China.
Yipei Wang
Mingyuan Liu
Yubo Fan

State Key Laboratory of Software Development Environment, Key Laboratory of Biomechanics and Mechanobiology of Ministry of Education, Beihang University, Beijing, China. yubofan@buaa.edu.cn.
Maode Lai
Eric I-Chao Chang

Microsoft Research Asia, Beijing, China. eric.chang@microsoft.com.

Keywords

Algorithms Colon Colorectal Neoplasms Histocytochemistry Humans Image Processing, Computer-Assisted Intestinal Mucosa Machine Learning Neural Networks, Computer

External Resources

View on PubMed Access via DOI PubMed (28358671)

Gland Instance Segmentation Using Deep Multichannel Neural Networks.

Abstract

Authors

Keywords

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