3D Explainable AI for Renal Structure Segmentation in CT Scans

An explainable AI project for renal structure segmentation in CT imaging. SegResNet was fine-tuned on multi-phase renal CT scans, reaching a Dice score of 0.78 for organ segmentation. To make the model’s decisions transparent, 3D Grad-CAM and Guided Backpropagation were integrated to produce volumetric, class-specific visualizations that show which anatomical regions drive each prediction.

Mohammadhossein Akbari Moafi
Mohammadhossein Akbari Moafi

AI Researcher and Engineer passionate about building practical, efficient intelligent systems across vision, multimodal, and knowledge-driven applications.