Surformer: An interpretable pattern-perceptive survival transformer for cancer survival prediction from histopathology whole slide images
Zhikang Wang(Australian Regenerative Medicine Institute), Jiangning Song(Australian Regenerative Medicine Institute), Xiaoping Yi(Central South University), Richard Bassed(Victorian Institute of Forensic Medicine), Píetro Lió(University of Cambridge), Roger J. Daly(Discovery Institute), Xinyu Zhang(Monash University), Qian Gao(Central South University), Seiya Imoto(The University of Tokyo), Shanshan Li(Wuxi People's Hospital), Yiwen Zhang(Harvard University), Daokun Zhang(Monash University), Yuming Guo(Chinese Academy of Sciences), Jianhua Yao(Tencent (China)), Chris Bain(Monash University)
Cited by 30
Related Papers
The SH2/SH3 domain‐containing protein GRB2 interacts with tyrosine‐phosphorylated IRS1 and Shc: implications for insulin control of ras signalling.
|The EMBO Journal|1993|707
<i>iFeature</i>: a Python package and web server for features extraction and selection from protein and peptide sequences
|Bioinformatics|2018|693
Emerging contaminants: A One Health perspective
|The Innovation|2024|497
Temporal Variation in Heat–Mortality Associations: A Multicountry Study
|Environmental Health Perspectives|2015|470