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

• 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
• Subjects: computational pathology; deep learning; digital histopathology; digital pathology; genomic sequencing; multiple instance learning; spatial omics; tumor microenvironment; tumor purity; whole-slide images
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/226614
• Institution: National University of Singapore

10.1016/j.patter.2021.100399