, xN } is a set of abdominal CT slices and Y = {y1, y2,

METHODS: SAM-MIX To formulate the problem, we assume a data distribution p(X , Y ) over D where X = {x1, x2

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cs.CV · 2024-12-11 · conditional · novelty 6.0

SAM-Mix couples a GradCAM classifier to SAM through auto-generated box prompts, reaching 0.948 Dice on liver segmentation from 50 labeled CT slices.

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Annotation-Efficient Task Guidance for Medical Segment Anything cs.CV · 2024-12-11 · conditional · none · ref 2
SAM-Mix couples a GradCAM classifier to SAM through auto-generated box prompts, reaching 0.948 Dice on liver segmentation from 50 labeled CT slices.