المؤلفون: 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

المساهمون: DUKE-NUS MEDICAL SCHOOL

المصدر: Unpaywall 20201031

مصطلحات موضوعية: 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

Relation: 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; https://scholarbank.nus.edu.sg/handle/10635/178105

الاتاحة: https://scholarbank.nus.edu.sg/handle/10635/178105