5 papers
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…
Virtual 3D H&E Staining from Phase-contrast Back-illumination Interference Tomography
Anthony Song, Boyan Zhou, Mayank Golhar +3
Three-dimensional (3D) histopathology of unprocessed tissues has the potential to transform disease management by enabling volumetric characterization of tissue microarchitecture a…
Multi-contrast laser endoscopy for in vivo gastrointestinal imaging
Taylor L. Bobrow, Mayank Golhar, Suchapa Arayakarnkul +3
White light endoscopy is the clinical gold standard for detecting diseases in the gastrointestinal tract. Most applications involve identifying visual abnormalities in tissue color…
C3VDv2 -- Colonoscopy 3D video dataset with enhanced realism
Mayank V. Golhar, Lucas Sebastian Galeano Fretes, Loren Ayers +3
Spatial computer vision techniques have the potential to improve the diagnostic performance of colonoscopy. However, the lack of 3D colonoscopy datasets for training and validation…
fundus imaging and computational refocusing with a diffuser-based fundus camera
Corey Simmerer, Marisa Morakis, Lei Tian +3
Significance: Access to diagnostic eye care could be expanded with high-throughput and easy-to-use tools. Phase mask-based imaging may improve the fundus camera by enabling computa…