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Unleashing the Strengths of Unlabeled Data in Pan-cancer Abdominal Organ
  Quantification: the FLARE22 Challenge

Unleashing the Strengths of Unlabeled Data in Pan-cancer Abdominal Organ Quantification: the FLARE22 Challenge

10 August 2023
Jun Ma
Y. Zhang
Song Gu
Cheng Ge
Shih-Ya Ma
A. Young
Chenglu Zhu
Kangkang Meng
Xin Yang
Zi-You Huang
Fan Zhang
Wenjie Liu
Yu-Jen Pan
Shoujin Huang
Jiacheng Wang
Ming Sun
Weixin Xu
Dengqiang Jia
Jae Won Choi
N. Alves
B. D. Wilde
Gregor Koehler
Yajun Wu
Manuel Wiesenfarth
Qiongjie Zhu
Guoqiang Dong
Jian He
the Flare Challenge Consortium
Bohui Wang
ArXivPDFHTML

Papers citing "Unleashing the Strengths of Unlabeled Data in Pan-cancer Abdominal Organ Quantification: the FLARE22 Challenge"

7 / 7 papers shown
Title
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?
Wenxuan Li
Alan L. Yuille
Zongwei Zhou
MedIm
41
8
0
20 Jan 2025
TG-LMM: Enhancing Medical Image Segmentation Accuracy through
  Text-Guided Large Multi-Modal Model
TG-LMM: Enhancing Medical Image Segmentation Accuracy through Text-Guided Large Multi-Modal Model
Yihao Zhao
Enhao Zhong
Cuiyun Yuan
Yang Li
Man Zhao
Chunxia Li
Jun Hu
Chenbin Liu
VLM
MedIm
36
0
0
05 Sep 2024
A Classifier-Free Incremental Learning Framework for Scalable Medical
  Image Segmentation
A Classifier-Free Incremental Learning Framework for Scalable Medical Image Segmentation
Xiaoyang Chen
Hao Zheng
Yifang Xie
Yuncong Ma
Tengfei Li
CLL
30
0
0
25 May 2024
MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis
MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis
Jiaxin Zhuang
Linshan Wu
Qiong Wang
V. Vardhanabhuti
Lin Luo
Hao Chen
Hao Chen
49
4
0
24 Apr 2024
One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts
One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts
Ziheng Zhao
Yao Zhang
Chaoyi Wu
Xiaoman Zhang
Ya-Qin Zhang
Yanfeng Wang
Weidi Xie
VLM
MedIm
30
36
0
28 Dec 2023
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
15
3
0
17 Nov 2023
Abdominal multi-organ segmentation in CT using Swinunter
Abdominal multi-organ segmentation in CT using Swinunter
Mingjin Chen
Yongkang He
Yongyi Lu
ViT
OOD
MedIm
16
0
0
28 Sep 2023
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