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Generalist Vision Foundation Models for Medical Imaging: A Case Study of
  Segment Anything Model on Zero-Shot Medical Segmentation

Generalist Vision Foundation Models for Medical Imaging: A Case Study of Segment Anything Model on Zero-Shot Medical Segmentation

25 April 2023
Peilun Shi
Jianing Qiu
Sai Mu Dalike Abaxi
Hao Wei
F. P. Lo
Wu Yuan
    LM&MA
    VLM
    MedIm
ArXivPDFHTML

Papers citing "Generalist Vision Foundation Models for Medical Imaging: A Case Study of Segment Anything Model on Zero-Shot Medical Segmentation"

12 / 12 papers shown
Title
Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging
Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging
Elena Mulero Ayllón
Massimiliano Mantegna
Linlin Shen
Paolo Soda
V. Guarrasi
M. Tortora
35
0
0
02 May 2025
Towards Universal Text-driven CT Image Segmentation
Yuheng Li
Yuxiang Lai
Maria Thor
Deborah Marshall
Zachary Buchwald
D. Yu
Xiaofeng Yang
MedIm
VLM
59
2
0
08 Mar 2025
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
80
14
0
15 Apr 2024
Morphology-Enhanced CAM-Guided SAM for weakly supervised Breast Lesion
  Segmentation
Morphology-Enhanced CAM-Guided SAM for weakly supervised Breast Lesion Segmentation
Xin Yue
Xiaoling Liu
Qing Zhao
Jianqiang Li
Changwei Song
Suqin Liu
Zhikai Yang
Guanghui Fu
MedIm
29
2
0
18 Nov 2023
Leveraging Multimodal Fusion for Enhanced Diagnosis of Multiple Retinal
  Diseases in Ultra-wide OCTA
Leveraging Multimodal Fusion for Enhanced Diagnosis of Multiple Retinal Diseases in Ultra-wide OCTA
Hao Wei
Peilun Shi
Guitao Bai
Minqing Zhang
Shuangle Li
Wu Yuan
21
0
0
17 Nov 2023
Are Natural Domain Foundation Models Useful for Medical Image
  Classification?
Are Natural Domain Foundation Models Useful for Medical Image Classification?
Joana Palés Huix
Adithya Raju Ganeshan
Johan Fredin Haslum
Magnus P Soderberg
Christos Matsoukas
Kevin Smith
OOD
MedIm
VLM
24
30
0
30 Oct 2023
Multi-domain improves out-of-distribution and data-limited scenarios for
  medical image analysis
Multi-domain improves out-of-distribution and data-limited scenarios for medical image analysis
Ece Ozkan
Xavier Boix
OOD
28
0
0
10 Oct 2023
TongueSAM: An Universal Tongue Segmentation Model Based on SAM with
  Zero-Shot
TongueSAM: An Universal Tongue Segmentation Model Based on SAM with Zero-Shot
Shan Cao
Qunsheng Ruan
Qingfeng Wu
VLM
28
11
0
12 Aug 2023
RefSAM: Efficiently Adapting Segmenting Anything Model for Referring
  Video Object Segmentation
RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentation
Yonglin Li
Jing Zhang
Xiao Teng
Long Lan
VOS
VLM
23
17
0
03 Jul 2023
A Comprehensive Survey on Segment Anything Model for Vision and Beyond
A Comprehensive Survey on Segment Anything Model for Vision and Beyond
Chunhui Zhang
Li Liu
Yawen Cui
Guanjie Huang
Weilin Lin
Yiqian Yang
Yuehong Hu
VLM
34
90
0
14 May 2023
CaraNet: Context Axial Reverse Attention Network for Segmentation of
  Small Medical Objects
CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects
Ange Lou
Shuyue Guan
Hanseok Ko
Murray H. Loew
150
193
0
16 Aug 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
206
891
0
16 Feb 2021
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