110 citations · 150 across the 5 of their papers we have counts for
3 papers · 1 filter
C3VD-DEFCOL: A Deformable Colonoscopy Dataset with Time-Resolved 3D Ground Truth and Realistic Appearance
Ethan Luk, Mayank V. Golhar, Anthony Song +5
3D reconstruction could improve colonoscopy by estimating mucosal coverage and alerting clinicians to missed regions during screening. However, algorithm development is limited as…
Colonoscopy 3D Video Dataset with Paired Depth from 2D-3D Registration
Taylor L. Bobrow, Mayank Golhar, Rohan Vijayan +3
Screening colonoscopy is an important clinical application for several 3D computer vision techniques, including depth estimation, surface reconstruction, and missing region detecti…
Improving colonoscopy lesion classification using semi-supervised deep learning
Mayank Golhar, Taylor L. Bobrow, MirMilad Pourmousavi Khoshknab +3
While data-driven approaches excel at many image analysis tasks, the performance of these approaches is often limited by a shortage of annotated data available for training. Recent…