Human-interpretable image features derived from densely mapped cancer pathology slides predict diverse molecular phenotypes
从密集映射的癌症病理切片中提取的、人类可解读的图像特征可以预测多种分子表型。
期刊:Nature Communications
影响因子:15.7
doi:10.1038/s41467-021-21896-9
Diao, James A; Wang, Jason K; Chui, Wan Fung; Mountain, Victoria; Gullapally, Sai Chowdary; Srinivasan, Ramprakash; Mitchell, Richard N; Glass, Benjamin; Hoffman, Sara; Rao, Sudha K; Maheshwari, Chirag; Lahiri, Abhik; Prakash, Aaditya; McLoughlin, Ryan; Kerner, Jennifer K; Resnick, Murray B; Montalto, Michael C; Khosla, Aditya; Wapinski, Ilan N; Beck, Andrew H; Elliott, Hunter L; Taylor-Weiner, Amaro