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LeCor

model1 events
papersSEP 10 04:00 UTC

LeCor: Meta-Learned Test-Time Training for Interactive 3D Lung Tumour Segmentation

A new arXiv paper introduces LeCor, a method that uses meta-learned test-time training for interactive 3D segmentation of lung tumours on CT scans. Since outlining lung tumours takes up a large share of radiotherapy planning time, the approach lets clinicians iteratively correct contours proposed by a model. The work builds on promptable foundation models for segmentation in the medical imaging context.

medical-imaging/segmentation/research/healthcare