ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2305.00035
  4. Cited By
SAM on Medical Images: A Comprehensive Study on Three Prompt Modes

SAM on Medical Images: A Comprehensive Study on Three Prompt Modes

28 April 2023
D. Cheng
Ziyuan Qin
Zekun Jiang
Shaoting Zhang
Qicheng Lao
Kang Li
    MedIm
    VLM
ArXivPDFHTML

Papers citing "SAM on Medical Images: A Comprehensive Study on Three Prompt Modes"

9 / 9 papers shown
Title
MedCLIP-SAMv2: Towards Universal Text-Driven Medical Image Segmentation
MedCLIP-SAMv2: Towards Universal Text-Driven Medical Image Segmentation
Taha Koleilat
Hojat Asgariandehkordi
H. Rivaz
Yiming Xiao
MedIm
VLM
36
6
0
28 Sep 2024
Swin-LiteMedSAM: A Lightweight Box-Based Segment Anything Model for
  Large-Scale Medical Image Datasets
Swin-LiteMedSAM: A Lightweight Box-Based Segment Anything Model for Large-Scale Medical Image Datasets
Ruochen Gao
Donghang Lyu
Marius Staring
VLM
MedIm
11
3
0
11 Sep 2024
A Federated Learning-Friendly Approach for Parameter-Efficient
  Fine-Tuning of SAM in 3D Segmentation
A Federated Learning-Friendly Approach for Parameter-Efficient Fine-Tuning of SAM in 3D Segmentation
Mothilal Asokan
Difei Gao
Joya Chen
Mike Zheng Shou
FedML
MedIm
36
1
0
31 Jul 2024
SAM Fewshot Finetuning for Anatomical Segmentation in Medical Images
SAM Fewshot Finetuning for Anatomical Segmentation in Medical Images
Weiyi Xie
Nathalie Willems
Shubham Patil
Yang Li
Mayank Kumar
43
13
0
05 Jul 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
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
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
19
30
0
30 Oct 2023
SAM-Med2D
SAM-Med2D
Junlong Cheng
Jin Ye
Zhongying Deng
Jianpin Chen
Tian-Xin Li
...
Hui Sun
Junjun He
Shaoting Zhang
Min Zhu
Yu Qiao
MedIm
VLM
31
122
0
30 Aug 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
32
89
0
14 May 2023
1