Monocular polyp sizing models achieve moderate performance by exploiting examination behavior cues rather than true metric scales, with scale information and segmentation robustness acting as independent bottlenecks.
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DepthPilot generates physically consistent and clinically interpretable colonoscopy videos by injecting depth priors into diffusion models through parameter-efficient fine-tuning and replacing linear denoising weights with adaptive splines.
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Understanding Model Behavior in Monocular Polyp Sizing
Monocular polyp sizing models achieve moderate performance by exploiting examination behavior cues rather than true metric scales, with scale information and segmentation robustness acting as independent bottlenecks.
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DepthPilot: From Controllability to Interpretability in Colonoscopy Video Generation
DepthPilot generates physically consistent and clinically interpretable colonoscopy videos by injecting depth priors into diffusion models through parameter-efficient fine-tuning and replacing linear denoising weights with adaptive splines.