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Segment Anything Model for Medical Image Segmentation: Current
  Applications and Future Directions

Segment Anything Model for Medical Image Segmentation: Current Applications and Future Directions

7 January 2024
Yichi Zhang
Zhenrong Shen
Rushi Jiao
    VLM
    MedIm
ArXivPDFHTML

Papers citing "Segment Anything Model for Medical Image Segmentation: Current Applications and Future Directions"

22 / 22 papers shown
Title
Segment Any RGB-Thermal Model with Language-aided Distillation
Segment Any RGB-Thermal Model with Language-aided Distillation
Dong Xing
Xianxun Zhu
Wei Zhou
Qika Lin
Hang Yang
Yuqing Wang
VLM
49
0
0
04 May 2025
RadSAM: Segmenting 3D radiological images with a 2D promptable model
RadSAM: Segmenting 3D radiological images with a 2D promptable model
Julien Khlaut
Elodie Ferreres
Daniel Tordjman
Hélène Philippe
Tom Boeken
Pierre Manceron
Corentin Dancette
MedIm
VLM
40
0
0
29 Apr 2025
Federated Client-tailored Adapter for Medical Image Segmentation
Federated Client-tailored Adapter for Medical Image Segmentation
Guyue Hu
Siyuan Song
Yukun Kang
Z. Yin
Gangming Zhao
Chenglong Li
Jin Tang
FedML
MedIm
92
0
0
25 Apr 2025
VesselSAM: Leveraging SAM for Aortic Vessel Segmentation with LoRA and Atrous Attention
VesselSAM: Leveraging SAM for Aortic Vessel Segmentation with LoRA and Atrous Attention
Adnan Iltaf
Rayan Merghani Ahmed
Bin Li
Bin Li
Shoujun Zhou
47
0
0
25 Feb 2025
A Comprehensive Survey of Foundation Models in Medicine
A Comprehensive Survey of Foundation Models in Medicine
Wasif Khan
Seowung Leem
Kyle B. See
Joshua K. Wong
Shaoting Zhang
R. Fang
AI4CE
LM&MA
VLM
95
16
0
17 Jan 2025
MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided Prototyping
MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided Prototyping
Amirreza Fateh
Mohammad Reza Mohammadi
Mohammad Reza Jahed Motlagh
ViT
61
5
0
31 Dec 2024
Zero-Shot Automatic Annotation and Instance Segmentation using LLM-Generated Datasets: Eliminating Field Imaging and Manual Annotation for Deep Learning Model Development
Ranjan Sapkota
Achyut Paudel
Manoj Karkee
SyDa
55
7
0
18 Nov 2024
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model
Han Gu
Haoyu Dong
Jichen Yang
Maciej Mazurowski
MedIm
VLM
68
10
0
15 Apr 2024
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-Chia Cheng
Yuan Qi
MedIm
15
3
0
17 Nov 2023
EviPrompt: A Training-Free Evidential Prompt Generation Method for
  Segment Anything Model in Medical Images
EviPrompt: A Training-Free Evidential Prompt Generation Method for Segment Anything Model in Medical Images
Yinsong Xu
Jiaqi Tang
Aidong Men
Qingchao Chen
VLM
MedIm
14
5
0
10 Nov 2023
One-shot Localization and Segmentation of Medical Images with Foundation
  Models
One-shot Localization and Segmentation of Medical Images with Foundation Models
Deepa Anand
Gurunath Reddy
Vanika Singhal
D. Shanbhag
KS Shriram
...
Dawei Gui
R. Mullick
Avinash Gopal
Parminder Bhatia
Taha A. Kass-Hout
MedIm
37
13
0
28 Oct 2023
Polyp-SAM: Transfer SAM for Polyp Segmentation
Polyp-SAM: Transfer SAM for Polyp Segmentation
Yuheng Li
Mingzhe Hu
Xiaofeng Yang
MedIm
156
74
0
29 Apr 2023
SAM Meets Robotic Surgery: An Empirical Study in Robustness Perspective
SAM Meets Robotic Surgery: An Empirical Study in Robustness Perspective
An-Chi Wang
Mobarakol Islam
Mengya Xu
Yang Zhang
Hongliang Ren
AAML
VLM
74
36
0
28 Apr 2023
Segment Anything Model for Medical Images?
Segment Anything Model for Medical Images?
Yuhao Huang
Yitian Zhao
Lei Mou
H. Fu
Ao Chang
...
Lei Li
Vicente Grau
M. Akiba
Fajin Dong
Jiang-Dong Liu
VLM
75
29
0
28 Apr 2023
SkinSAM: Empowering Skin Cancer Segmentation with Segment Anything Model
SkinSAM: Empowering Skin Cancer Segmentation with Segment Anything Model
Mingzhe Hu
Yuheng Li
Xiaofeng Yang
VLM
137
50
0
27 Apr 2023
GazeSAM: What You See is What You Segment
GazeSAM: What You See is What You Segment
Bin Wang
Armstrong Aboah
Zheyu Zhang
Ulas Bagci
62
20
0
26 Apr 2023
Customized Segment Anything Model for Medical Image Segmentation
Customized Segment Anything Model for Medical Image Segmentation
Kaiwen Zhang
Dong Liu
MedIm
VLM
95
276
0
26 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
258
7,337
0
11 Nov 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
253
4,735
0
24 Feb 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy
  Text Supervision
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia
Yinfei Yang
Ye Xia
Yi-Ting Chen
Zarana Parekh
Hieu H. Pham
Quoc V. Le
Yun-hsuan Sung
Zhen Li
Tom Duerig
VLM
CLIP
293
3,683
0
11 Feb 2021
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
278
10,544
0
19 Feb 2017
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
229
74,467
0
18 May 2015
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