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Surgment: Segmentation-enabled Semantic Search and Creation of Visual
  Question and Feedback to Support Video-Based Surgery Learning

Surgment: Segmentation-enabled Semantic Search and Creation of Visual Question and Feedback to Support Video-Based Surgery Learning

27 February 2024
Jingying Wang
Haoran Tang
Taylor Kantor
Tandis Soltani
Vitaliy Popov
Xu Wang
    MedIm
ArXivPDFHTML

Papers citing "Surgment: Segmentation-enabled Semantic Search and Creation of Visual Question and Feedback to Support Video-Based Surgery Learning"

3 / 3 papers shown
Title
Surgical Scene Understanding in the Era of Foundation AI Models: A Comprehensive Review
Surgical Scene Understanding in the Era of Foundation AI Models: A Comprehensive Review
Ufaq Khan
Umair Nawaz
A. Qayyum
Shazad Ashraf
Muhammad Bilal
Junaid Qadir
76
0
0
24 Feb 2025
Looking Together $\neq$ Seeing the Same Thing: Understanding Surgeons'
  Visual Needs During Intra-operative Coordination and Instruction
Looking Together ≠\neq= Seeing the Same Thing: Understanding Surgeons' Visual Needs During Intra-operative Coordination and Instruction
Vitaliy Popov
Xinyue Chen
Jingying Wang
Michael Kemp
Gurjit Sandhu
Taylor Kantor
Natalie Mateju
Xu Wang
18
4
0
21 Mar 2024
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
232
75,445
0
18 May 2015
1