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SegICL: A Multimodal In-context Learning Framework for Enhanced
  Segmentation in Medical Imaging

SegICL: A Multimodal In-context Learning Framework for Enhanced Segmentation in Medical Imaging

25 March 2024
Lingdong Shen
Fangxin Shang
Xiaoshuang Huang
Yehui Yang
Haifeng Huang
Shiming Xiang
    VLM
ArXivPDFHTML

Papers citing "SegICL: A Multimodal In-context Learning Framework for Enhanced Segmentation in Medical Imaging"

4 / 4 papers shown
Title
Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation
Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation
Yunhao Bai
Duowen Chen
Qingli Li
Wei Shen
Yan Wang
36
118
0
01 May 2023
Customized Segment Anything Model for Medical Image Segmentation
Customized Segment Anything Model for Medical Image Segmentation
Kaiwen Zhang
Dong Liu
MedIm
VLM
95
276
0
26 Apr 2023
Bidirectional Language Models Are Also Few-shot Learners
Bidirectional Language Models Are Also Few-shot Learners
Ajay Patel
Bryan Li
Mohammad Sadegh Rasooli
Noah Constant
Colin Raffel
Chris Callison-Burch
LRM
62
45
0
29 Sep 2022
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
229
74,467
0
18 May 2015
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