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Deep learning approaches to surgical video segmentation and object detection: A Scoping Review

Deep learning approaches to surgical video segmentation and object detection: A Scoping Review

23 February 2025
Devanish N. Kamtam
Joseph B. Shrager
Satya Deepya Malla
Nicole Lin
Juan J. Cardona
Jake J. Kim
Clarence Hu
ArXivPDFHTML

Papers citing "Deep learning approaches to surgical video segmentation and object detection: A Scoping Review"

5 / 5 papers shown
Title
SurgiSAM2: Fine-tuning a foundational model for surgical video anatomy segmentation and detection
Devanish N. Kamtam
Joseph B. Shrager
Satya Deepya Malla
Xiaohan Wang
Nicole Lin
Juan J. Cardona
Serena Yeung-Levy
Clarence Hu
VLM
68
0
0
05 Mar 2025
Latent Graph Representations for Critical View of Safety Assessment
Latent Graph Representations for Critical View of Safety Assessment
Aditya Murali
Deepak Alapatt
Pietro Mascagni
Armine Vardazaryan
Alain Garcia
Nariaki Okamoto
Didier Mutter
N. Padoy
MedIm
63
19
0
08 Dec 2022
Towards a Guideline for Evaluation Metrics in Medical Image Segmentation
Towards a Guideline for Evaluation Metrics in Medical Image Segmentation
Dominik Muller
Iñaki Soto Rey
Frank Kramer
55
285
0
10 Feb 2022
UNETR: Transformers for 3D Medical Image Segmentation
UNETR: Transformers for 3D Medical Image Segmentation
Ali Hatamizadeh
Yucheng Tang
Vishwesh Nath
Dong Yang
Andriy Myronenko
Bennett Landman
H. Roth
Daguang Xu
ViT
MedIm
120
1,567
0
18 Mar 2021
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation
Yundong Zhang
Huiye Liu
Qiang Hu
ViT
MedIm
226
907
0
16 Feb 2021
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