arXiv cs.CV
· Papers
HiPath: Hierarchical Vision-Language Alignment for Structured Pathology Report Prediction
arXiv:2603.19957v2 Announce Type: replace Abstract: Pathology reports are structured, multi-granular documents encoding diagnostic conclusions, histological grades, and ancillary test results across one or more anatomical sites; yet existing pathology vision-language models (VLMs) reduce this output to a flat label or