Histo-Genomic Knowledge Distillation For Cancer Prognosis From Histopathology Whole Slide Images

arXiv:2403.10040v1 Announce Type: cross
Abstract: Histo-genomic multi-modal methods have recently emerged as a powerful paradigm, demonstrating significant potential for improving cancer prognosis. However, genome sequencing, unlike histopathology imaging, is still not widely accessible in underdeveloped regions, limiting the application of these multi-modal approaches in clinical settings. To address this, we propose a novel Genome-informed Hyper-Attention Network, termed G-HANet, which is capable of effectively distilling the histo-genomic knowledge during training to elevate uni-modal whole slide image (WSI)-based inference for the first …

abstract application arxiv cancer clinical cs.cv distillation eess.iv genome genomic however images imaging knowledge modal multi-modal paradigm sequencing type