Application of Segment Anything Model in Medical Image Segmentation

被引:0
|
作者
Wu, Tong [1 ,2 ]
Hu, Haoji [1 ,2 ]
Feng, Yang [3 ]
Luo, Qiong [4 ]
Xu, Dong [5 ,6 ]
Zheng, Weizeng [7 ]
Jin, Neng [4 ]
Yang, Chen [5 ,6 ]
Yao, Jincao [5 ,6 ]
机构
[1] University of Illinois Urbana-Champaign Institute, Zhejiang University, Zhejiang, Hangzhou,314400, China
[2] College of Information Science and Electronic Engineering, Zhejiang University, Zhejiang, Hangzhou,310027, China
[3] Angelalign Research Institute, Anglealign Technology Inc., Shanghai,200433, China
[4] Department of Obstetrics, Women's Hospital School of Medicine Zhejiang University, Zhejiang, Hangzhou,310006, China
[5] Zhejiang Cancer Hospital, Zhejiang, Hangzhou,331022, China
[6] Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Zhejiang, Hangzhou,310000, China
[7] Department of Radiology, Women's Hospital School of Medicine Zhejiang University, Zhejiang, Hangzhou,310006, China
来源
关键词
Image annotation - Image segmentation - Medical image processing - Photointerpretation;
D O I
10.3788/CJL240614
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [31] A review of the Segment Anything Model (SAM) for medical image analysis: Accomplishments and perspectives
    Ali, Mudassar
    Wu, Tong
    Hu, Haoji
    Luo, Qiong
    Xu, Dong
    Zheng, Weizeng
    Jin, Neng
    Yang, Chen
    Yao, Jincao
    COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 2025, 119
  • [32] Segment Anything by Meta as a foundation model for image segmentation: a new era for histopathological images
    Chauveau, Bertrand
    Merville, Pierre
    PATHOLOGY, 2023, 55 (07) : 1017 - 1020
  • [33] Enhancing Nnunet Performance with a Plug-and-Play Segment Anything Model for Few-Shot Medical Image Segmentation (nnSAM)
    Li, Y.
    Jing, B.
    Wang, J.
    Zhang, Y.
    MEDICAL PHYSICS, 2024, 51 (10) : 7694 - 7694
  • [34] ASPS: Augmented Segment Anything Model for Polyp Segmentation
    Li, Huiqian
    Zhang, Dingwen
    Yao, Jieru
    Han, Longfei
    Li, Zhongyu
    Han, Junwei
    MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2024, PT IX, 2024, 15009 : 118 - 128
  • [35] Trans-SAM: Transfer Segment Anything Model to medical image segmentation with Parameter-Efficient Fine-Tuning
    Wu, Yanlin
    Wang, Zhihong
    Yang, Xiongfeng
    Kang, Hong
    He, Along
    Li, Tao
    KNOWLEDGE-BASED SYSTEMS, 2025, 310
  • [36] APPLICATION OF SNAKE MODEL IN MEDICAL IMAGE SEGMENTATION
    Liu, Jianhua
    Wu, Xinsheng
    Wang, Jianwei
    INTERNATIONAL SYMPOSIUM ON COMPUTER SCIENCE & TECHNOLOGY, PROCEEDINGS, 2009, : 308 - 311
  • [37] Matte anything: Interactive natural image matting with segment anything model
    Yao, Jingfeng
    Wang, Xinggang
    Ye, Lang
    Liu, Wenyu
    IMAGE AND VISION COMPUTING, 2024, 147
  • [38] ClickSAM: Fine-tuning Segment Anything Model using click prompts for ultrasound image segmentation
    Guo, Aimee
    Fei, Grace
    Pasupuleti, Hemanth
    Wang, Jing
    MEDICAL IMAGING 2024: ULTRASONIC IMAGING AND TOMOGRAPHY, 2024, 12932
  • [39] Segment Anything Model for fetal head-pubic symphysis segmentation in intrapartum ultrasound image analysis
    Zhou, Zihao
    Lu, Yaosheng
    Bai, Jieyun
    Campello, Victor M.
    Feng, Fan
    Lekadir, Karim
    EXPERT SYSTEMS WITH APPLICATIONS, 2025, 263
  • [40] Segment anything in medical images
    Ma, Jun
    He, Yuting
    Li, Feifei
    Han, Lin
    You, Chenyu
    Wang, Bo
    NATURE COMMUNICATIONS, 2024, 15 (01)