Using computer assisted image analysis to determine the optimal Ki67 threshold for predicting outcome of invasive breast cancer

10.18632/oncotarget.24398

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Main Authors:	Tay, T.K.Y, Thike, A.A, Pathmanathan, N, Jara-Lazaro, A.R, Iqbal, J, Sng, A.S.H, Ye, H.S, Lim, J.C.T, Koh, V.C.Y, Tan, J.S.Y, Yeong, J.P.S, Chow, Z.L, Li, H.H, Cheng, C.L, Tan, P.H
Other Authors:	DUKE-NUS MEDICAL SCHOOL
Format:	Article
Published:	2020
Subjects:	Ki 67 antigen adult aged algorithm Article breast cancer cancer prognosis cancer recurrence cancer survival clinical outcome computer analysis computer assisted image analysis controlled study differential diagnosis estrogen receptor positive breast cancer female human human cell human tissue image analysis luminal A breast cancer luminal B breast cancer major clinical study middle aged overall survival prediction scoring system tissue microarray tumor invasion very elderly young adult
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/178105
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-178105
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spelling	sg-nus-scholar.10635-1781052024-11-09T02:10:49Z Using computer assisted image analysis to determine the optimal Ki67 threshold for predicting outcome of invasive breast cancer Tay, T.K.Y Thike, A.A Pathmanathan, N Jara-Lazaro, A.R Iqbal, J Sng, A.S.H Ye, H.S Lim, J.C.T Koh, V.C.Y Tan, J.S.Y Yeong, J.P.S Chow, Z.L Li, H.H Cheng, C.L Tan, P.H DUKE-NUS MEDICAL SCHOOL Ki 67 antigen adult aged algorithm Article breast cancer cancer prognosis cancer recurrence cancer survival clinical outcome computer analysis computer assisted image analysis controlled study differential diagnosis estrogen receptor positive breast cancer female human human cell human tissue image analysis luminal A breast cancer luminal B breast cancer major clinical study middle aged overall survival prediction scoring system tissue microarray tumor invasion very elderly young adult 10.18632/oncotarget.24398 Oncotarget 9 14 11619-11630 2020-10-20T05:06:55Z 2020-10-20T05:06:55Z 2018 Article Tay, T.K.Y, Thike, A.A, Pathmanathan, N, Jara-Lazaro, A.R, Iqbal, J, Sng, A.S.H, Ye, H.S, Lim, J.C.T, Koh, V.C.Y, Tan, J.S.Y, Yeong, J.P.S, Chow, Z.L, Li, H.H, Cheng, C.L, Tan, P.H (2018). Using computer assisted image analysis to determine the optimal Ki67 threshold for predicting outcome of invasive breast cancer. Oncotarget 9 (14) : 11619-11630. ScholarBank@NUS Repository. https://doi.org/10.18632/oncotarget.24398 19492553 https://scholarbank.nus.edu.sg/handle/10635/178105 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Unpaywall 20201031
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Ki 67 antigen adult aged algorithm Article breast cancer cancer prognosis cancer recurrence cancer survival clinical outcome computer analysis computer assisted image analysis controlled study differential diagnosis estrogen receptor positive breast cancer female human human cell human tissue image analysis luminal A breast cancer luminal B breast cancer major clinical study middle aged overall survival prediction scoring system tissue microarray tumor invasion very elderly young adult
spellingShingle	Ki 67 antigen adult aged algorithm Article breast cancer cancer prognosis cancer recurrence cancer survival clinical outcome computer analysis computer assisted image analysis controlled study differential diagnosis estrogen receptor positive breast cancer female human human cell human tissue image analysis luminal A breast cancer luminal B breast cancer major clinical study middle aged overall survival prediction scoring system tissue microarray tumor invasion very elderly young adult Tay, T.K.Y Thike, A.A Pathmanathan, N Jara-Lazaro, A.R Iqbal, J Sng, A.S.H Ye, H.S Lim, J.C.T Koh, V.C.Y Tan, J.S.Y Yeong, J.P.S Chow, Z.L Li, H.H Cheng, C.L Tan, P.H Using computer assisted image analysis to determine the optimal Ki67 threshold for predicting outcome of invasive breast cancer
description	10.18632/oncotarget.24398
author2	DUKE-NUS MEDICAL SCHOOL
author_facet	DUKE-NUS MEDICAL SCHOOL Tay, T.K.Y Thike, A.A Pathmanathan, N Jara-Lazaro, A.R Iqbal, J Sng, A.S.H Ye, H.S Lim, J.C.T Koh, V.C.Y Tan, J.S.Y Yeong, J.P.S Chow, Z.L Li, H.H Cheng, C.L Tan, P.H
format	Article
author	Tay, T.K.Y Thike, A.A Pathmanathan, N Jara-Lazaro, A.R Iqbal, J Sng, A.S.H Ye, H.S Lim, J.C.T Koh, V.C.Y Tan, J.S.Y Yeong, J.P.S Chow, Z.L Li, H.H Cheng, C.L Tan, P.H
author_sort	Tay, T.K.Y
title	Using computer assisted image analysis to determine the optimal Ki67 threshold for predicting outcome of invasive breast cancer
title_short	Using computer assisted image analysis to determine the optimal Ki67 threshold for predicting outcome of invasive breast cancer
title_full	Using computer assisted image analysis to determine the optimal Ki67 threshold for predicting outcome of invasive breast cancer
title_fullStr	Using computer assisted image analysis to determine the optimal Ki67 threshold for predicting outcome of invasive breast cancer
title_full_unstemmed	Using computer assisted image analysis to determine the optimal Ki67 threshold for predicting outcome of invasive breast cancer
title_sort	using computer assisted image analysis to determine the optimal ki67 threshold for predicting outcome of invasive breast cancer
publishDate	2020
url	https://scholarbank.nus.edu.sg/handle/10635/178105
_version_	1821224458775429120

Using computer assisted image analysis to determine the optimal Ki67 threshold for predicting outcome of invasive breast cancer

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