This repo contains the checkpoints for OminiAbnorm-CT, a multi-modal generative model for grounded abnormality analysis on CT images from multiple planes and all human body regions.
It supports three representative tasks:
It is built on
OminiAbnorm-CT-14K, the first large-scale dataset designed for abnormality grounding and description on multi-plane whole-body CT imaging.
It contains 14.5K CT images with grounding annotation for 19K abnormal findings.
Each abnormal finding is further linked to the detailed description in the report, and categorized according to a comprehensive hierarchical taxonomy.
Check our
paper and
github repo for usage and more details.
