2 papers
cs.CV2026
DBMF: A Dual-Branch Multimodal Framework for Out-of-Distribution Detection
Jiangbei Yue, Darren Treanor, Venkataraman Subramanian +1
The complex and dynamic real-world clinical environment demands reliable deep learning (DL) systems. Out-of-distribution (OOD) detection plays a critical role in enhancing the reli…
q-bio.QM2025
Machine learning-based multimodal prognostic models integrating pathology images and high-throughput omic data for overall survival prediction in cancer: a systematic review
Charlotte Jennings, Andrew Broad, Lucy Godson +3
Multimodal machine learning integrating histopathology and molecular data shows promise for cancer prognostication. We systematically reviewed studies combining whole slide images…