A consensus-based catalog of 18 validation pitfalls, with evidence that common practices understate uncertainty, hide failures, and flip algorithm rankings in surgical video AI.
Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation.Medical image analysis, 63:101693
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M2C turns SAM3 into an auto-promptable annotator for medical few-shot segmentation via test-time concept embedding optimization and uncertainty-driven active refinement.
A task-oriented review of medical-image SSL arguing that pretext tasks should be chosen to match downstream tasks and modalities, not used one-size-fits-all.
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Current validation practice undermines surgical AI development
A consensus-based catalog of 18 validation pitfalls, with evidence that common practices understate uncertainty, hide failures, and flip algorithm rankings in surgical video AI.
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Mask to Concept: Auto-Promptable SAM3 via Efficient Test-Time Concept Embedding Search for Few-Shot Annotation
M2C turns SAM3 into an auto-promptable annotator for medical few-shot segmentation via test-time concept embedding optimization and uncertainty-driven active refinement.
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Task-Aligned Self-Supervised Learning for Medical Image Analysis: A Task-Oriented Review with Practical Design Guidelines
A task-oriented review of medical-image SSL arguing that pretext tasks should be chosen to match downstream tasks and modalities, not used one-size-fits-all.