Obtaining spatially resolved tumor purity maps using deep multiple instance learning in a pan-cancer study

10.1016/j.patter.2021.100399

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Main Authors: Oner, MU, Chen, J, Revkov, E, James, A, Heng, SY, Kaya, AN, Alvarez, JJS, Takano, A, Cheng, XM, Lim, TKH, Tan, DSW, Zhai, W, Skanderup, AJ, Sung, WK, Lee, HK
Other Authors: BIOLOGICAL SCIENCES
Format: Article
Published: Elsevier BV 2022
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Online Access:https://scholarbank.nus.edu.sg/handle/10635/226614
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-2266142024-04-17T09:04:42Z Obtaining spatially resolved tumor purity maps using deep multiple instance learning in a pan-cancer study Oner, MU Chen, J Revkov, E James, A Heng, SY Kaya, AN Alvarez, JJS Takano, A Cheng, XM Lim, TKH Tan, DSW Zhai, W Skanderup, AJ Sung, WK Lee, HK BIOLOGICAL SCIENCES DEAN'S OFFICE (DUKE-NUS MEDICAL SCHOOL) DEPARTMENT OF COMPUTER SCIENCE computational pathology deep learning digital histopathology digital pathology genomic sequencing multiple instance learning spatial omics tumor microenvironment tumor purity whole-slide images 10.1016/j.patter.2021.100399 Patterns 3 2 100399- 2022-06-07T04:43:45Z 2022-06-07T04:43:45Z 2022-02-11 2022-06-07T01:09:48Z Article Oner, MU, Chen, J, Revkov, E, James, A, Heng, SY, Kaya, AN, Alvarez, JJS, Takano, A, Cheng, XM, Lim, TKH, Tan, DSW, Zhai, W, Skanderup, AJ, Sung, WK, Lee, HK (2022-02-11). Obtaining spatially resolved tumor purity maps using deep multiple instance learning in a pan-cancer study. Patterns 3 (2) : 100399-. ScholarBank@NUS Repository. https://doi.org/10.1016/j.patter.2021.100399 2666-3899 https://scholarbank.nus.edu.sg/handle/10635/226614 Elsevier BV Elements
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic computational pathology
deep learning
digital histopathology
digital pathology
genomic sequencing
multiple instance learning
spatial omics
tumor microenvironment
tumor purity
whole-slide images
spellingShingle computational pathology
deep learning
digital histopathology
digital pathology
genomic sequencing
multiple instance learning
spatial omics
tumor microenvironment
tumor purity
whole-slide images
Oner, MU
Chen, J
Revkov, E
James, A
Heng, SY
Kaya, AN
Alvarez, JJS
Takano, A
Cheng, XM
Lim, TKH
Tan, DSW
Zhai, W
Skanderup, AJ
Sung, WK
Lee, HK
Obtaining spatially resolved tumor purity maps using deep multiple instance learning in a pan-cancer study
description 10.1016/j.patter.2021.100399
author2 BIOLOGICAL SCIENCES
author_facet BIOLOGICAL SCIENCES
Oner, MU
Chen, J
Revkov, E
James, A
Heng, SY
Kaya, AN
Alvarez, JJS
Takano, A
Cheng, XM
Lim, TKH
Tan, DSW
Zhai, W
Skanderup, AJ
Sung, WK
Lee, HK
format Article
author Oner, MU
Chen, J
Revkov, E
James, A
Heng, SY
Kaya, AN
Alvarez, JJS
Takano, A
Cheng, XM
Lim, TKH
Tan, DSW
Zhai, W
Skanderup, AJ
Sung, WK
Lee, HK
author_sort Oner, MU
title Obtaining spatially resolved tumor purity maps using deep multiple instance learning in a pan-cancer study
title_short Obtaining spatially resolved tumor purity maps using deep multiple instance learning in a pan-cancer study
title_full Obtaining spatially resolved tumor purity maps using deep multiple instance learning in a pan-cancer study
title_fullStr Obtaining spatially resolved tumor purity maps using deep multiple instance learning in a pan-cancer study
title_full_unstemmed Obtaining spatially resolved tumor purity maps using deep multiple instance learning in a pan-cancer study
title_sort obtaining spatially resolved tumor purity maps using deep multiple instance learning in a pan-cancer study
publisher Elsevier BV
publishDate 2022
url https://scholarbank.nus.edu.sg/handle/10635/226614
_version_ 1800915399432208384