Adaptive Biomedical Segmentation

Adaptive Biomedical Segmentation: Enhancing model Explainability through Domain Shift Analysis Research Intern (Guide: Tushar Kataria) - Fine-tuned U-Net, DeepLabV3 model on GlaS Dataset MICCAI 2015, CRAG, CPM15, and CPM17 to observe domain dependency of models on the dataset, created a pipeline to improve Image masks mIOU and Dice Score. This image in the left depicts 0.933 mIOU accuracy on GlaS. - Analysed Domain Shift in biomedical image segmentation models as a critical insight into Model Explainability.Developed pipeline for binary segmentation (UNet and DeepLabV3) for domain adaptation in diverse datasets.