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SAM vs BET: A Comparative Study for Brain Extraction and Segmentation of
  Magnetic Resonance Images using Deep Learning

SAM vs BET: A Comparative Study for Brain Extraction and Segmentation of Magnetic Resonance Images using Deep Learning

10 April 2023
Sovesh Mohapatra
Advait Gosai
G. Schlaug
ArXivPDFHTML

Papers citing "SAM vs BET: A Comparative Study for Brain Extraction and Segmentation of Magnetic Resonance Images using Deep Learning"

20 / 20 papers shown
Title
Recent Advances in Medical Imaging Segmentation: A Survey
Recent Advances in Medical Imaging Segmentation: A Survey
Fares Bougourzi
Abdenour Hadid
OOD
44
0
0
14 May 2025
Skull stripping with purely synthetic data
Skull stripping with purely synthetic data
Jong Sung Park
Juhyung Ha
Siddhesh P. Thakur
Alexandra Badea
Spyridon Bakas
Eleftherios Garyfallidis
36
0
0
12 May 2025
Self-Prompt SAM: Medical Image Segmentation via Automatic Prompt SAM Adaptation
Self-Prompt SAM: Medical Image Segmentation via Automatic Prompt SAM Adaptation
Bin Xie
Hao Tang
Dawen Cai
Yan Yan
Gady Agam
MedIm
VLM
64
1
0
02 Feb 2025
Sli2Vol+: Segmenting 3D Medical Images Based on an Object Estimation
  Guided Correspondence Flow Network
Sli2Vol+: Segmenting 3D Medical Images Based on an Object Estimation Guided Correspondence Flow Network
Delin An
Pengfei Gu
Milan Sonka
Chaoli Wang
Danny Chen
82
1
0
21 Nov 2024
Interactive Medical Image Segmentation: A Benchmark Dataset and Baseline
Interactive Medical Image Segmentation: A Benchmark Dataset and Baseline
Junlong Cheng
Bin Fu
Jin Ye
Guoan Wang
Tianbin Li
...
Jianfei Chen
Jiajian Li
Yanzhou Su
Min Zhu
Junjun He
VLM
84
4
0
19 Nov 2024
Segment Anything for Dendrites from Electron Microscopy
Segment Anything for Dendrites from Electron Microscopy
Zewen Zhuo
I. Belevich
Ville Leinonen
E. Jokitalo
Tarja Malm
Alejandra Sierra
Jussi Tohka
37
1
0
04 Nov 2024
On Efficient Variants of Segment Anything Model: A Survey
On Efficient Variants of Segment Anything Model: A Survey
Xiaorui Sun
Xiaozhong Liu
H. Shen
Xiaofeng Zhu
Ping Hu
VLM
51
4
0
07 Oct 2024
Do Vision Foundation Models Enhance Domain Generalization in Medical
  Image Segmentation?
Do Vision Foundation Models Enhance Domain Generalization in Medical Image Segmentation?
Kerem Cekmeceli
Meva Himmetoglu
G. I. Tombak
A. Susmelj
Ertunc Erdil
E. Konukoglu
MedIm
38
2
0
12 Sep 2024
SimSAM: Zero-shot Medical Image Segmentation via Simulated Interaction
SimSAM: Zero-shot Medical Image Segmentation via Simulated Interaction
Benjamin Towle
Xin Chen
Ke Zhou
MedIm
37
1
0
02 Jun 2024
Unleashing the Potential of SAM for Medical Adaptation via Hierarchical
  Decoding
Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding
Zhiheng Cheng
Qingyue Wei
Hongru Zhu
Yan Wang
Liangqiong Qu
Wei Shao
Yuyin Zhou
MedIm
41
27
0
27 Mar 2024
MaskSAM: Towards Auto-prompt SAM with Mask Classification for Volumetric Medical Image Segmentation
MaskSAM: Towards Auto-prompt SAM with Mask Classification for Volumetric Medical Image Segmentation
Bin Xie
Hao Tang
Bin Duan
Dawen Cai
Yan Yan
Gady Agam
VLM
MedIm
31
0
0
21 Mar 2024
Segment Anything Model for Medical Image Segmentation: Current
  Applications and Future Directions
Segment Anything Model for Medical Image Segmentation: Current Applications and Future Directions
Yichi Zhang
Zhenrong Shen
Rushi Jiao
VLM
MedIm
30
114
0
07 Jan 2024
Guided Prompting in SAM for Weakly Supervised Cell Segmentation in
  Histopathological Images
Guided Prompting in SAM for Weakly Supervised Cell Segmentation in Histopathological Images
Aayushi Tyagi
Vaibhav Mishra
AP Prathosh
Mausam
VLM
40
1
0
29 Nov 2023
Deep Interactive Segmentation of Medical Images: A Systematic Review and
  Taxonomy
Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy
Zdravko Marinov
Paul F. Jäger
Jan Egger
Jens Kleesiek
Rainer Stiefelhagen
38
17
0
23 Nov 2023
Enhancing the Reliability of Segment Anything Model for Auto-Prompting
  Medical Image Segmentation with Uncertainty Rectification
Enhancing the Reliability of Segment Anything Model for Auto-Prompting Medical Image Segmentation with Uncertainty Rectification
Yichi Zhang
Shiyao Hu
Sijie Ren
Chen Jiang
Yuan Cheng
Yuan Qi
MedIm
22
3
0
17 Nov 2023
Industrial Segment Anything -- a Case Study in Aircraft Manufacturing,
  Intralogistics, Maintenance, Repair, and Overhaul
Industrial Segment Anything -- a Case Study in Aircraft Manufacturing, Intralogistics, Maintenance, Repair, and Overhaul
Keno Moenck
Arne Wendt
Philipp Prünte
Julian Koch
Arne Sahrhage
...
Falko Kähler
Dirk Holst
Martin Gomse
Thorsten Schuppstuhl
Daniel Schoepflin
VLM
26
6
0
24 Jul 2023
Matte Anything: Interactive Natural Image Matting with Segment Anything
  Models
Matte Anything: Interactive Natural Image Matting with Segment Anything Models
J. Yao
Xinggang Wang
Lang Ye
Wenyu Liu
28
38
0
07 Jun 2023
Towards Segment Anything Model (SAM) for Medical Image Segmentation: A
  Survey
Towards Segment Anything Model (SAM) for Medical Image Segmentation: A Survey
Yichi Zhang
Rushi Jiao
MedIm
VLM
34
26
0
05 May 2023
Segment Anything in Medical Images
Segment Anything in Medical Images
Jun Ma
Yuting He
Feifei Li
Li-Jun Han
Chenyu You
Bo Wang
MedIm
VLM
46
453
0
24 Apr 2023
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
308
7,457
0
11 Nov 2021
1