Collaborative training of medical artificial intelligence models with non-uniform labels
Soroosh Tayebi Arasteh(Friedrich-Alexander-Universität Erlangen-Nürnberg), Daniel Truhn(Universitätsklinikum Aachen), Marwin Saehn(RWTH Aachen University), Firas Khader(Universitätsklinikum Aachen), Christiane Kühl(University of Bonn), Gustav Mueller-Franzes(RWTH Aachen University), Jakob Nikolas Kather(Heidelberg University), Sven Nebelung(Universitätsklinikum Aachen), Peter Isfort(RWTH Aachen University)
Cited by 26
Related Papers
Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer
|Nature Medicine|2019|1.4k
Mammography, Breast Ultrasound, and Magnetic Resonance Imaging for Surveillance of Women at High Familial Risk for Breast Cancer
|Journal of Clinical Oncology|2005|1.1k
Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study
|PLoS Medicine|2019|1k
The future landscape of large language models in medicine
|Communications Medicine|2023|937
Deep learning in cancer pathology: a new generation of clinical biomarkers
|British Journal of Cancer|2020|649