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2304.07875
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The Segment Anything foundation model achieves favorable brain tumor autosegmentation accuracy on MRI to support radiotherapy treatment planning
16 April 2023
F. Putz
J. Grigo
T. Weissmann
P. Schubert
D. Hoefler
A. Gomaa
Hassen Ben Tkhayat
Amr Hagag
S. Lettmaier
Benjamin Frey
U. Gaipl
L. Distel
S. Semrau
Christoph Bert
R. Fietkau
Yixing Huang
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Papers citing
"The Segment Anything foundation model achieves favorable brain tumor autosegmentation accuracy on MRI to support radiotherapy treatment planning"
14 / 14 papers shown
Title
Sam2Rad: A Segmentation Model for Medical Images with Learnable Prompts
Assefa Seyoum Wahd
B. Felfeliyan
Yuyue Zhou
Shrimanti Ghosh
Adam McArthur
Jiechen Zhang
Jacob L. Jaremko
A. Hareendranathan
VLM
MedIm
45
1
0
10 Sep 2024
Curriculum Prompting Foundation Models for Medical Image Segmentation
Xiuqi Zheng
Yuhang Zhang
Haoran Zhang
Hongrui Liang
Xueqi Bao
Zhuqing Jiang
Qicheng Lao
VLM
MedIm
31
0
0
01 Sep 2024
Image Segmentation in Foundation Model Era: A Survey
Tianfei Zhou
Fei Zhang
Boyu Chang
Wenguan Wang
Ye Yuan
E. Konukoglu
Daniel Cremers
VLM
42
4
0
23 Aug 2024
Segment Anything Model for automated image data annotation: empirical studies using text prompts from Grounding DINO
F. Mumuni
A. Mumuni
VLM
44
0
0
27 Jun 2024
Does SAM dream of EIG? Characterizing Interactive Segmenter Performance using Expected Information Gain
Kuan-I Chung
Daniel Moyer
VLM
36
0
0
24 Apr 2024
Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy
Zdravko Marinov
Paul F. Jäger
Jan Egger
Jens Kleesiek
Rainer Stiefelhagen
38
17
0
23 Nov 2023
A Survey of Incremental Transfer Learning: Combining Peer-to-Peer Federated Learning and Domain Incremental Learning for Multicenter Collaboration
Yixing Huang
Christoph Bert
Rostislav Makarov
Alexander Alenin
Andreas Maier
F. Putz
FedML
CLL
27
1
0
29 Sep 2023
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
47
123
0
30 Aug 2023
S
A
M
M
e
d
\mathrm{SAM^{Med}}
SA
M
Med
: A medical image annotation framework based on large vision model
Chenglong Wang
Dexuan Li
Sucheng Wang
Chengxiu Zhang
Yida Wang
Yun-Hui Liu
Guang Yang
VLM
MedIm
37
19
0
11 Jul 2023
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
Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN Embedding
Amr Hagag
A. Gomaa
Dominik Kornek
Andreas Maier
R. Fietkau
Christoph Bert
F. Putz
Yixing Huang
3DH
MedIm
19
3
0
26 Jun 2023
Segment Anything Model (SAM) for Radiation Oncology
Lian-Cheng Zhang
Zheng Liu
Lu Zhang
Zihao Wu
Xiao-Xing Yu
...
Xiang Li
Quanzheng Li
Dajiang Zhu
Tianming Liu
Wei Liu
VLM
MedIm
21
33
0
20 Jun 2023
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
43
90
0
14 May 2023
SAM on Medical Images: A Comprehensive Study on Three Prompt Modes
D. Cheng
Ziyuan Qin
Zekun Jiang
Shaoting Zhang
Qicheng Lao
Kang Li
MedIm
VLM
27
103
0
28 Apr 2023
1