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Segment Anything Model for Medical Image Analysis: an Experimental Study

Segment Anything Model for Medical Image Analysis: an Experimental Study

20 April 2023
Maciej Mazurowski
Haoyu Dong
Han Gu
Jichen Yang
N. Konz
Yixin Zhang
    MedIm
    VLM
ArXivPDFHTML

Papers citing "Segment Anything Model for Medical Image Analysis: an Experimental Study"

50 / 200 papers shown
Title
Sam2Rad: A Segmentation Model for Medical Images with Learnable Prompts
Sam2Rad: A Segmentation Model for Medical Images with Learnable Prompts
Assefa Seyoum Wahd
B. Felfeliyan
Yuyue Zhou
Shrimanti Ghosh
Adam McArthur
Jiechen Zhang
Jacob L. Jaremko
A. Hareendranathan
VLM
MedIm
40
1
0
10 Sep 2024
SAM2Point: Segment Any 3D as Videos in Zero-shot and Promptable Manners
SAM2Point: Segment Any 3D as Videos in Zero-shot and Promptable Manners
Ziyu Guo
Renrui Zhang
Xiangyang Zhu
Chengzhuo Tong
Peng Gao
Chunyuan Li
Pheng-Ann Heng
VGen
3DPC
42
13
0
29 Aug 2024
PropSAM: A Propagation-Based Model for Segmenting Any 3D Objects in
  Multi-Modal Medical Images
PropSAM: A Propagation-Based Model for Segmenting Any 3D Objects in Multi-Modal Medical Images
Zifan Chen
Xinyu Nan
Jiazheng Li
Jie Zhao
Haifeng Li
...
Heyun Chen
Yiting Liu
Bin Dong
Li Lyna Zhang
L. Tang
MedIm
40
0
0
25 Aug 2024
Image Segmentation in Foundation Model Era: A Survey
Image Segmentation in Foundation Model Era: A Survey
Tianfei Zhou
Fei Zhang
Boyu Chang
Wenguan Wang
Ye Yuan
E. Konukoglu
Daniel Cremers
VLM
40
4
0
23 Aug 2024
NuSegDG: Integration of Heterogeneous Space and Gaussian Kernel for
  Domain-Generalized Nuclei Segmentation
NuSegDG: Integration of Heterogeneous Space and Gaussian Kernel for Domain-Generalized Nuclei Segmentation
Zhenye Lou
Qing Xu
Zekun Jiang
Xiangjian He
Zhen Chen
Yi Wang
Chenxin Li
Maggie M. He
Wenting Duan
27
1
0
21 Aug 2024
LCE: A Framework for Explainability of DNNs for Ultrasound Image Based
  on Concept Discovery
LCE: A Framework for Explainability of DNNs for Ultrasound Image Based on Concept Discovery
Weiji Kong
Xun Gong
Juan Wang
21
1
0
19 Aug 2024
Retrieval-augmented Few-shot Medical Image Segmentation with Foundation Models
Retrieval-augmented Few-shot Medical Image Segmentation with Foundation Models
Lin Zhao
Xiao Chen
Eric Z. Chen
Yikang Liu
Terrence Chen
Shanhui Sun
VLM
54
5
0
16 Aug 2024
Prompt-Based Segmentation at Multiple Resolutions and Lighting Conditions using Segment Anything Model 2
Prompt-Based Segmentation at Multiple Resolutions and Lighting Conditions using Segment Anything Model 2
Osher Rafaeli
T. Svoray
Roni Blushtein-Livnon
Ariel Nahlieli
VLM
35
10
0
13 Aug 2024
Zero-shot 3D Segmentation of Abdominal Organs in CT Scans Using Segment Anything Model 2: Adapting Video Tracking Capabilities for 3D Medical Imaging
Zero-shot 3D Segmentation of Abdominal Organs in CT Scans Using Segment Anything Model 2: Adapting Video Tracking Capabilities for 3D Medical Imaging
Yosuke Yamagishi
S. Hanaoka
Tomohiro Kikuchi
Takahiro Nakao
Yuta Nakamura
Y. Nomura
S. Miki
T. Yoshikawa
O. Abe
36
6
0
12 Aug 2024
SAM-FNet: SAM-Guided Fusion Network for Laryngo-Pharyngeal Tumor
  Detection
SAM-FNet: SAM-Guided Fusion Network for Laryngo-Pharyngeal Tumor Detection
Jia Wei
Y. Li
Meiyu Qiu
Hongyu Chen
Xiaomao Fan
Wenbin Lei
22
2
0
10 Aug 2024
Novel adaptation of video segmentation to 3D MRI: efficient zero-shot
  knee segmentation with SAM2
Novel adaptation of video segmentation to 3D MRI: efficient zero-shot knee segmentation with SAM2
A. Yu
Mohsen Hariri
Xuecen Zhang
Mingrui Yang
Vipin Chaudhary
Xiaojuan Li
VGen
MedIm
32
4
0
08 Aug 2024
SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream
  Tasks: Camouflage, Shadow, Medical Image Segmentation, and More
SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More
Tianrun Chen
Ankang Lu
Lanyun Zhu
Chaotao Ding
Chunan Yu
Deyi Ji
Z. Li
Lingyun Sun
Papa Mao
Ying-Dong Zang
VLM
MedIm
40
19
0
08 Aug 2024
Segment Anything in Medical Images and Videos: Benchmark and Deployment
Segment Anything in Medical Images and Videos: Benchmark and Deployment
Jun Ma
Sumin Kim
Feifei Li
Mohammed Baharoon
Reza Asakereh
Hongwei Lyu
Bo Wang
VLM
MedIm
42
27
0
06 Aug 2024
Biomedical SAM 2: Segment Anything in Biomedical Images and Videos
Biomedical SAM 2: Segment Anything in Biomedical Images and Videos
Zhiling Yan
Weixiang Sun
Rong-Er Zhou
Zhengqing Yuan
Kai Zhang
...
Tianming Liu
Quanzheng Li
Xiang Li
Lifang He
L. Sun
VLM
MedIm
29
9
0
06 Aug 2024
Interactive 3D Medical Image Segmentation with SAM 2
Interactive 3D Medical Image Segmentation with SAM 2
Chuyun Shen
Wenhao Li
Yuhang Shi
Xiangfeng Wang
VLM
MedIm
28
11
0
05 Aug 2024
Segment anything model 2: an application to 2D and 3D medical images
Segment anything model 2: an application to 2D and 3D medical images
Haoyu Dong
Han Gu
Yaqian Chen
Jichen Yang
Yuwen Chen
Maciej Mazurowski
VLM
MedIm
32
13
0
01 Aug 2024
SAM 2: Segment Anything in Images and Videos
SAM 2: Segment Anything in Images and Videos
Nikhila Ravi
Valentin Gabeur
Yuan-Ting Hu
Ronghang Hu
Chaitanya K. Ryali
...
Nicolas Carion
Chao-Yuan Wu
Ross B. Girshick
Piotr Dollár
Christoph Feichtenhofer
VLM
MLLM
31
676
0
01 Aug 2024
Robust Box Prompt based SAM for Medical Image Segmentation
Robust Box Prompt based SAM for Medical Image Segmentation
Yuhao Huang
Xin Yang
Han Zhou
Yan Cao
Haoran Dou
Fajin Dong
Dong Ni
VLM
MedIm
25
5
0
31 Jul 2024
GP-VLS: A general-purpose vision language model for surgery
GP-VLS: A general-purpose vision language model for surgery
Samuel Schmidgall
Joseph Cho
C. Zakka
W. Hiesinger
LM&MA
44
5
0
27 Jul 2024
SAM2CLIP2SAM: Vision Language Model for Segmentation of 3D CT Scans for
  Covid-19 Detection
SAM2CLIP2SAM: Vision Language Model for Segmentation of 3D CT Scans for Covid-19 Detection
D. Kollias
Anastasios Arsenos
J. Wingate
Stefanos D. Kollias
26
2
0
22 Jul 2024
MedSAGa: Few-shot Memory Efficient Medical Image Segmentation using
  Gradient Low-Rank Projection in SAM
MedSAGa: Few-shot Memory Efficient Medical Image Segmentation using Gradient Low-Rank Projection in SAM
Navyansh Mahla
Annie D'souza
Shubh Gupta
B. Kanekar
Kshitij S. Jadhav
VLM
MedIm
14
2
0
21 Jul 2024
ESP-MedSAM: Efficient Self-Prompting SAM for Universal
  Domain-Generalized Medical Image Segmentation
ESP-MedSAM: Efficient Self-Prompting SAM for Universal Domain-Generalized Medical Image Segmentation
Qing Xu
Jiaxuan Li
Xiangjian He
Ziyu Liu
Zhen Chen
...
Fiseha B. Tesema
W. Cheah
Yi Wang
Rong Qu
Jonathan M. Garibaldi
MedIm
VLM
30
0
0
19 Jul 2024
Improving Representation of High-frequency Components for Medical Visual Foundation Models
Improving Representation of High-frequency Components for Medical Visual Foundation Models
Yuetan Chu
Yilan Zhang
Zhongyi Han
Changchun Yang
Longxi Zhou
Gongning Luo
Chao Huang
Xin Gao
MedIm
32
1
0
19 Jul 2024
Cross Prompting Consistency with Segment Anything Model for
  Semi-supervised Medical Image Segmentation
Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation
Juzheng Miao
Cheng Chen
Keli Zhang
Jie Chuai
Quanzheng Li
Pheng-Ann Heng
29
7
0
07 Jul 2024
MMedAgent: Learning to Use Medical Tools with Multi-modal Agent
MMedAgent: Learning to Use Medical Tools with Multi-modal Agent
Binxu Li
Tiankai Yan
Yuanting Pan
Zhe Xu
Jie Luo
Ruiyang Ji
Shilong Liu
Haoyu Dong
Zihao Lin
Yixin Wang
LM&MA
36
24
0
02 Jul 2024
Virtually Objective Quantification of in vitro Wound Healing Scratch
  Assays with the Segment Anything Model
Virtually Objective Quantification of in vitro Wound Healing Scratch Assays with the Segment Anything Model
Katja Löwenstein
Johanna Rehrl
Anja Schuster
Michael Gadermayr
13
0
0
02 Jul 2024
Label Anything: Multi-Class Few-Shot Semantic Segmentation with Visual
  Prompts
Label Anything: Multi-Class Few-Shot Semantic Segmentation with Visual Prompts
Pasquale De Marinis
Nicola Fanelli
Raffaele Scaringi
Emanuele Colonna
Giuseppe Fiameni
G. Vessio
Giovanna Castellano
MLLM
VLM
16
2
0
02 Jul 2024
Embedded Visual Prompt Tuning
Embedded Visual Prompt Tuning
Wenqiang Zu
Shenghao Xie
Qing Zhao
Guoqi Li
Lei Ma
VLM
MedIm
44
9
0
01 Jul 2024
Multimodal Data Integration for Precision Oncology: Challenges and
  Future Directions
Multimodal Data Integration for Precision Oncology: Challenges and Future Directions
Huajun Zhou
Fengtao Zhou
Chenyu Zhao
Yingxue Xu
Luyang Luo
Hao Chen
30
4
0
28 Jun 2024
Segment Anything Model for automated image data annotation: empirical
  studies using text prompts from Grounding DINO
Segment Anything Model for automated image data annotation: empirical studies using text prompts from Grounding DINO
F. Mumuni
A. Mumuni
VLM
31
0
0
27 Jun 2024
ALPS: An Auto-Labeling and Pre-training Scheme for Remote Sensing
  Segmentation With Segment Anything Model
ALPS: An Auto-Labeling and Pre-training Scheme for Remote Sensing Segmentation With Segment Anything Model
Song Zhang
Qingzhong Wang
Junyi Liu
Haoyi Xiong
42
1
0
16 Jun 2024
APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic
  Segmentation
APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentation
Weizhao He
Yang Zhang
Wei Zhuo
Linlin Shen
Jiaqi Yang
Songhe Deng
Liang Sun
VLM
33
8
0
12 Jun 2024
Extending Segment Anything Model into Auditory and Temporal Dimensions
  for Audio-Visual Segmentation
Extending Segment Anything Model into Auditory and Temporal Dimensions for Audio-Visual Segmentation
Juhyeong Seon
Woobin Im
Sebin Lee
Jumin Lee
Sung-eui Yoon
26
1
0
10 Jun 2024
The ULS23 Challenge: a Baseline Model and Benchmark Dataset for 3D
  Universal Lesion Segmentation in Computed Tomography
The ULS23 Challenge: a Baseline Model and Benchmark Dataset for 3D Universal Lesion Segmentation in Computed Tomography
M.J.J. de Grauw
E.Th. Scholten
E. J. Smit
M.J.C.M. Rutten
M. Prokop
B. V. Ginneken
A. Hering
3DV
30
6
0
07 Jun 2024
FMARS: Annotating Remote Sensing Images for Disaster Management using
  Foundation Models
FMARS: Annotating Remote Sensing Images for Disaster Management using Foundation Models
Edoardo Arnaudo
Jacopo Lungo Vaschetti
Lorenzo Innocenti
Luca Barco
Davide Lisi
V. Fissore
Claudio Rossi
25
1
0
30 May 2024
SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for
  Embodied Manipulation
SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation
Junjie Zhang
Chenjia Bai
Haoran He
Wenke Xia
Zhigang Wang
Bin Zhao
Xiu Li
Xuelong Li
35
12
0
30 May 2024
FocSAM: Delving Deeply into Focused Objects in Segmenting Anything
FocSAM: Delving Deeply into Focused Objects in Segmenting Anything
You Huang
Zongyu Lan
Liujuan Cao
Xianming Lin
Shengchuan Zhang
Guannan Jiang
Rongrong Ji
VLM
21
2
0
29 May 2024
PP-SAM: Perturbed Prompts for Robust Adaptation of Segment Anything
  Model for Polyp Segmentation
PP-SAM: Perturbed Prompts for Robust Adaptation of Segment Anything Model for Polyp Segmentation
Md Mostafijur Rahman
Mustafa Munir
Debesh Jha
Ulas Bagci
R. Marculescu
VLM
24
1
0
27 May 2024
Segmentation of Maya hieroglyphs through fine-tuned foundation models
Segmentation of Maya hieroglyphs through fine-tuned foundation models
Fnu Shivam
Megan Leight
Mary Kate Kelly
Claire Davis
Kelsey Clodfelter
Jacob Thrasher
Yenumula Reddy
P. Gyawali
31
0
0
26 May 2024
XCAT-3.0: A Comprehensive Library of Personalized Digital Twins Derived
  from CT Scans
XCAT-3.0: A Comprehensive Library of Personalized Digital Twins Derived from CT Scans
Lavsen Dahal
Mobina Ghojoghnejad
Dhrubajyoti Ghosh
Yubraj Bhandari
David Kim
...
Kyle J. Lafata
E. Abadi
Ehsan Samei
Joseph Y. Lo
W. Paul Segars
11
0
0
18 May 2024
One registration is worth two segmentations
One registration is worth two segmentations
Shiqi Huang
Tingfa Xu
Ziyi Shen
Shaheer U. Saeed
Wen Yan
D. Barratt
Yipeng Hu
33
1
0
17 May 2024
SAM3D: Zero-Shot Semi-Automatic Segmentation in 3D Medical Images with
  the Segment Anything Model
SAM3D: Zero-Shot Semi-Automatic Segmentation in 3D Medical Images with the Segment Anything Model
Trevor J. Chan
Aarush Sahni
Jie Li
Alisha Luthra
Amy Fang
Alison Pouch
C. Rajapakse
MedIm
VLM
22
1
0
10 May 2024
UnSAMFlow: Unsupervised Optical Flow Guided by Segment Anything Model
UnSAMFlow: Unsupervised Optical Flow Guided by Segment Anything Model
Shuai Yuan
Lei Luo
Zhuo Hui
Can Pu
Xiaoyu Xiang
Rakesh Ranjan
D. Demandolx
24
3
0
04 May 2024
MoPEFT: A Mixture-of-PEFTs for the Segment Anything Model
MoPEFT: A Mixture-of-PEFTs for the Segment Anything Model
Rajat Sahay
Andreas E. Savakis
MoE
25
0
0
01 May 2024
Semantic Segmentation Refiner for Ultrasound Applications with Zero-Shot
  Foundation Models
Semantic Segmentation Refiner for Ultrasound Applications with Zero-Shot Foundation Models
Hedda Cohen Indelman
Elay Dahan
Angeles M. Perez-Agosto
Carmit Shiran
D. Shaked
Nati Daniel
MedIm
21
0
0
25 Apr 2024
Does SAM dream of EIG? Characterizing Interactive Segmenter Performance
  using Expected Information Gain
Does SAM dream of EIG? Characterizing Interactive Segmenter Performance using Expected Information Gain
Kuan-I Chung
Daniel Moyer
VLM
16
0
0
24 Apr 2024
Ultrasound SAM Adapter: Adapting SAM for Breast Lesion Segmentation in
  Ultrasound Images
Ultrasound SAM Adapter: Adapting SAM for Breast Lesion Segmentation in Ultrasound Images
Zhengzheng Tu
Le Gu
Xixi Wang
Bo Jiang
MedIm
35
3
0
23 Apr 2024
Performance Evaluation of Segment Anything Model with Variational
  Prompting for Application to Non-Visible Spectrum Imagery
Performance Evaluation of Segment Anything Model with Variational Prompting for Application to Non-Visible Spectrum Imagery
Yona Falinie A. Gaus
Neelanjan Bhowmik
Brian K. S. Isaac-Medina
T. Breckon
VLM
19
2
0
18 Apr 2024
Global Counterfactual Directions
Global Counterfactual Directions
Bartlomiej Sobieski
P. Biecek
DiffM
56
5
0
18 Apr 2024
Post-Training Network Compression for 3D Medical Image Segmentation:
  Reducing Computational Efforts via Tucker Decomposition
Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker Decomposition
Tobias Weber
Jakob Dexl
David Rügamer
Michael Ingrisch
MedIm
32
2
0
15 Apr 2024
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