Resumen
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.
| Idioma original | Inglés |
|---|---|
| Páginas (desde-hasta) | 489-502 |
| Número de páginas | 14 |
| Publicación | Medical Image Analysis |
| Volumen | 35 |
| DOI | |
| Estado | Publicada - 1 ene. 2017 |
| Publicado de forma externa | Sí |
ODS de las Naciones Unidas
Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible
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ODS 3: Salud y bienestar
Huella
Profundice en los temas de investigación de 'Gland segmentation in colon histology images: The glas challenge contest'. En conjunto forman una huella única.Citar esto
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