The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Gland segmentation in colon histology images: The glas challenge contest
Open accessAbstract
&NA; 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. HighlightsThe Gland Segmentation in Colon Histology Images Challenge (GlaS) Contest at MICCAI15.The complete details of the challenge are presented.The descriptions of the top performing methods are presented.Evaluation results of the top performing methods are presented. Graphical abstract Figure. No caption available.
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Metadata
- Authors
- Sirinukunwattana, K., Pluim, J. P. W., Chen, H., Qi, X., Heng, P.-A., Guo, Y. B., Wang, L. Y., Matuszewski, B. J., Bruni, E., Sanchez, U., Böhm, A., Ronneberger, O., Cheikh, B. B., Racoceanu, D., Kainz, P., Pfeiffer, M., Urschler, M., Snead, D. R. J., & Rajpoot, N. M.
- Venue
- Medical Image Analysis
- Publisher
- Elsevier BV
- Published
- 2017-01
- Volume
- 35
- Pages
- 489-502
- ISSN
- 1361-8415 (ISSN-L)
- OpenAlex
- W2288892845
- Cited by
- 979
- References
- 7
- FWCI
- 39.84
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Sirinukunwattana, K., Pluim, J. P. W., Chen, H., Qi, X., Heng, P.-A., Guo, Y. B., Wang, L. Y., Matuszewski, B. J., Bruni, E., Sanchez, U., Böhm, A., Ronneberger, O., Cheikh, B. B., Racoceanu, D., Kainz, P., Pfeiffer, M., Urschler, M., Snead, D. R. J., & Rajpoot, N. M. (2017). Gland segmentation in colon histology images: The glas challenge contest. Medical Image Analysis. https://doi.org/10.1016/j.media.2016.08.008
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