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AutoProSAM: Automated Prompting SAM for 3D Multi-Organ Segmentation

AutoProSAM: Automated Prompting SAM for 3D Multi-Organ Segmentation

28 August 2023
Chengyin Li
Prashant Khanduri
Yao Qiang
Rafi Ibn Sultan
I. Chetty
D. Zhu
    MedIm
ArXivPDFHTML

Papers citing "AutoProSAM: Automated Prompting SAM for 3D Multi-Organ Segmentation"

4 / 4 papers shown
Title
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model
Han Gu
Haoyu Dong
Jichen Yang
Maciej Mazurowski
MedIm
VLM
80
12
0
15 Apr 2024
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
20
3
0
17 Nov 2023
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models
  across Computer Vision Tasks
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks
Micah Goldblum
Hossein Souri
Renkun Ni
Manli Shu
Viraj Prabhu
...
Adrien Bardes
Judy Hoffman
Ramalingam Chellappa
Andrew Gordon Wilson
Tom Goldstein
VLM
81
62
0
30 Oct 2023
Customized Segment Anything Model for Medical Image Segmentation
Customized Segment Anything Model for Medical Image Segmentation
Kaiwen Zhang
Dong Liu
MedIm
VLM
100
287
0
26 Apr 2023
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