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Gland segmentation in colon histology images: The glas challenge contest

Authors :
Sirinukunwattana, Korsuk
Pluim, J.P.W.
Chen, Hao
Qi, Xiaojuan
Heng, Pheng Ann
Guo, Yun Bo
Wang, Li Yang
Matuszewski, Bogdan J.
Bruni, Elia
Sanchez, Urko
Böhm, Anton
Ronneberger, Olaf
Cheikh, Bassem Ben
Racoceanu, Daniel
Kainz, Philipp
Pfeiffer, Michael
Urschler, Martin
Snead, David R.J.
Rajpoot, Nasir M.
Sirinukunwattana, Korsuk
Pluim, J.P.W.
Chen, Hao
Qi, Xiaojuan
Heng, Pheng Ann
Guo, Yun Bo
Wang, Li Yang
Matuszewski, Bogdan J.
Bruni, Elia
Sanchez, Urko
Böhm, Anton
Ronneberger, Olaf
Cheikh, Bassem Ben
Racoceanu, Daniel
Kainz, Philipp
Pfeiffer, Michael
Urschler, Martin
Snead, David R.J.
Rajpoot, Nasir M.
Source :
Medical Image Analysis vol.35 (2016) date: 2016-09-03 p.489-502 [ISSN 1361-8415]
Publication Year :
2016

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.

Details

Database :
OAIster
Journal :
Medical Image Analysis vol.35 (2016) date: 2016-09-03 p.489-502 [ISSN 1361-8415]
Notes :
Sirinukunwattana, Korsuk
Publication Type :
Electronic Resource
Accession number :
edsoai.on1359177075
Document Type :
Electronic Resource