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artastier / UNISEG

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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
  • Updated Mar 27, 2024
  • Python

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