This repository is the result of an academic project at Ecole Centrale in Nantes, France, with my classmate @damien-gautier-nantes. The aim of this project was to evaluate the performance of universal segmentation models for segmenting cancerous lesions. The UniverSeg and Segment Anything (SAM) models were tested.
ai
deep-learning
medical
segmentation
positron-emission-tomography
maximum-intensity-projections
segment-anything-meta
universeg
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Updated
Mar 27, 2024 - Python