The role of artificial intelligence to quantify the tumour-stroma ratio for survival in colorectal cancer

Bibliographic Details
Main Authors: Marloes A Smit, Wilma E Mesker
Format: Article
Language:English
Published: Elsevier 2020-11-01
Series:EBioMedicine
Online Access:http://www.sciencedirect.com/science/article/pii/S2352396420304461
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spelling doaj-63a76c34866a47d8a9eb3727da5a436e2020-11-25T03:35:22ZengElsevierEBioMedicine2352-39642020-11-0161103070The role of artificial intelligence to quantify the tumour-stroma ratio for survival in colorectal cancerMarloes A Smit0Wilma E Mesker1Department of Surgery, Leiden University Medical Centre, the NetherlandsDepartment of Surgery, Leiden University Medical Centre, the Netherlandshttp://www.sciencedirect.com/science/article/pii/S2352396420304461
collection DOAJ
language English
format Article
sources DOAJ
author Marloes A Smit
Wilma E Mesker
spellingShingle Marloes A Smit
Wilma E Mesker
The role of artificial intelligence to quantify the tumour-stroma ratio for survival in colorectal cancer
EBioMedicine
author_facet Marloes A Smit
Wilma E Mesker
author_sort Marloes A Smit
title The role of artificial intelligence to quantify the tumour-stroma ratio for survival in colorectal cancer
title_short The role of artificial intelligence to quantify the tumour-stroma ratio for survival in colorectal cancer
title_full The role of artificial intelligence to quantify the tumour-stroma ratio for survival in colorectal cancer
title_fullStr The role of artificial intelligence to quantify the tumour-stroma ratio for survival in colorectal cancer
title_full_unstemmed The role of artificial intelligence to quantify the tumour-stroma ratio for survival in colorectal cancer
title_sort role of artificial intelligence to quantify the tumour-stroma ratio for survival in colorectal cancer
publisher Elsevier
series EBioMedicine
issn 2352-3964
publishDate 2020-11-01
url http://www.sciencedirect.com/science/article/pii/S2352396420304461
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