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Polyp SAM 2: Advancing Zero shot Polyp Segmentation in Colorectal Cancer Detection

Polyp SAM 2: Advancing Zero shot Polyp Segmentation in Colorectal Cancer Detection

Mobina Mansoori
Sajjad Shahabodini
J. Abouei
Konstantinos N. Plataniotis
Arash Mohammadi
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Papers citing "Polyp SAM 2: Advancing Zero shot Polyp Segmentation in Colorectal Cancer Detection"

6 / 6 papers shown
Title
CamSAM2: Segment Anything Accurately in Camouflaged Videos
CamSAM2: Segment Anything Accurately in Camouflaged Videos
Yuli Zhou
Guolei Sun
Yawei Li
Yuqian Fu
Luca Benini
Ender Konukoglu
37
0
0
25 Mar 2025
SAM2 for Image and Video Segmentation: A Comprehensive Survey
SAM2 for Image and Video Segmentation: A Comprehensive Survey
Zhang Jiaxing
Tang Hao
VLM
50
0
0
17 Mar 2025
When SAM2 Meets Video Camouflaged Object Segmentation: A Comprehensive Evaluation and Adaptation
When SAM2 Meets Video Camouflaged Object Segmentation: A Comprehensive Evaluation and Adaptation
Yuli Zhou
Guolei Sun
Yawei Li
Guo-Sen Xie
Luca Benini
Ender Konukoglu
22
4
0
27 Sep 2024
Unleashing the Potential of SAM2 for Biomedical Images and Videos: A Survey
Unleashing the Potential of SAM2 for Biomedical Images and Videos: A Survey
Yichi Zhang
Zhenrong Shen
VLM
30
12
0
23 Aug 2024
Enhanced U-Net: A Feature Enhancement Network for Polyp Segmentation
Enhanced U-Net: A Feature Enhancement Network for Polyp Segmentation
Krushi Patel
A. Bur
Guanghui Wang
93
98
0
03 May 2021
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