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：
Zhongguo Jiguang/Chinese Journal of Lasers | 2024年 / 51卷 / 21期
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] EVALUATION OF THE SEGMENT ANYTHING MODEL (SAM) FOR BRAIN TUMOR SEGMENTATION
    Peivandi, Mohammad
    Zhang, Jason
    Lu, Michael
    Li, Chengyin
    Zhu, Dongxiao
    Kou, Zhifeng
    IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING, ISBI 2024, 2024,
  • [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] 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
12345