Whole-Slide Image Analysis Reveals Quantitative Landscape of Tumor-Immune Microenvironment in Colorectal Cancers.
Seung-Yeon YooHye Eun ParkJung Ho KimXianyu WenSeorin JeongNam-Yun ChoHwang Gwan GwonHye Seung LeeSeung-Yong JeongSae-Won HanJeong Mo BaeGyeong Hoon KangPublished in: Clinical cancer research : an official journal of the American Association for Cancer Research (2019)
Machine-learning-based image analysis can be useful for extracting quantitative information about the TIME, using whole-slide histopathologic images. This information can classify colorectal cancers into clinicopathologically relevant subgroups without performing a molecular analysis of the tumors.