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All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with
  Prompt-based Finetuning

All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based Finetuning

1 July 2023
C. Cui
Ruining Deng
Quan Liu
Tianyuan Yao
Shunxing Bao
Lucas W. Remedios
Yucheng Tang
Yuankai Huo
    VLM
ArXivPDFHTML

Papers citing "All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based Finetuning"

3 / 3 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 A. Mazurowski
MedIm
VLM
107
14
0
15 Apr 2024
LViT: Language meets Vision Transformer in Medical Image Segmentation
LViT: Language meets Vision Transformer in Medical Image Segmentation
Zihan Li
Yunxiang Li
Qingde Li
Puyang Wang
Dazhou Guo
Le Lu
D. Jin
You Zhang
Qingqi Hong
VLM
MedIm
83
136
0
29 Jun 2022
Instance-aware Self-supervised Learning for Nuclei Segmentation
Instance-aware Self-supervised Learning for Nuclei Segmentation
Xinpeng Xie
Jiawei Chen
Yuexiang Li
Linlin Shen
Kai Ma
Yefeng Zheng
SSL
131
59
0
22 Jul 2020
1