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Gland segmentation in colon histology images: The glas challenge contest.

Authors :
Sirinukunwattana K
Pluim JPW
Chen H
Qi X
Heng PA
Guo YB
Wang LY
Matuszewski BJ
Bruni E
Sanchez U
Böhm A
Ronneberger O
Cheikh BB
Racoceanu D
Kainz P
Pfeiffer M
Urschler M
Snead DRJ
Rajpoot NM
Source :
Medical image analysis [Med Image Anal] 2017 Jan; Vol. 35, pp. 489-502. Date of Electronic Publication: 2016 Sep 03.
Publication Year :
2017

Abstract

Colorectal adenocarcinoma originating in intestinal glandular structures is the most common form of colon cancer. In clinical practice, the morphology of intestinal glands, including architectural appearance and glandular formation, is used by pathologists to inform prognosis and plan the treatment of individual patients. However, achieving good inter-observer as well as intra-observer reproducibility of cancer grading is still a major challenge in modern pathology. An automated approach which quantifies the morphology of glands is a solution to the problem. This paper provides an overview to the Gland Segmentation in Colon Histology Images Challenge Contest (GlaS) held at MICCAI'2015. Details of the challenge, including organization, dataset and evaluation criteria, are presented, along with the method descriptions and evaluation results from the top performing methods.<br /> (Copyright © 2016 Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1361-8423
Volume :
35
Database :
MEDLINE
Journal :
Medical image analysis
Publication Type :
Academic Journal
Accession number :
27614792
Full Text :
https://doi.org/10.1016/j.media.2016.08.008