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Two-Stage Hybrid Supervision Framework for Fast, Low-resource, and
  Accurate Organ and Pan-cancer Segmentation in Abdomen CT
v1v2 (latest)

Two-Stage Hybrid Supervision Framework for Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT

11 September 2023
Wentao Liu
Tong Tian
Weijing Xu
Lemeng Wang
Haoyuan Li
Huihua Yang
ArXiv (abs)PDFHTML

Papers citing "Two-Stage Hybrid Supervision Framework for Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT"

10 / 10 papers shown
Title
TotalSegmentator: robust segmentation of 104 anatomical structures in CT
  images
TotalSegmentator: robust segmentation of 104 anatomical structures in CT images
Jakob Wasserthal
H. Breit
Manfred T. Meyer
M. Pradella
Daniel Hinck
...
Daniel Boll
Joshy Cyriac
Shan Yang
M. Bach
Martin Segeroth
OOD
69
757
0
11 Aug 2022
ST++: Make Self-training Work Better for Semi-supervised Semantic
  Segmentation
ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation
Lihe Yang
Wei Zhuo
Lei Qi
Yinghuan Shi
Yang Gao
56
314
0
09 Jun 2021
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision
Xiaokang Chen
Yuhui Yuan
Gang Zeng
Jingdong Wang
98
786
0
02 Jun 2021
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?
Jun Ma
Yao Zhang
Song Gu
Cheng Zhu
Cheng Ge
...
Shangqing Liu
Yunpeng Wang
Yuhui Li
Jian He
Xiaoping Yang
SSegOOD
98
344
0
28 Oct 2020
Semi-Supervised Semantic Segmentation with Cross-Consistency Training
Semi-Supervised Semantic Segmentation with Cross-Consistency Training
Yassine Ouali
C´eline Hudelot
Myriam Tami
127
729
0
19 Mar 2020
Multi-organ Segmentation over Partially Labeled Datasets with
  Multi-scale Feature Abstraction
Multi-organ Segmentation over Partially Labeled Datasets with Multi-scale Feature Abstraction
Xi Fang
Pingkun Yan
SSeg
68
176
0
01 Jan 2020
The state of the art in kidney and kidney tumor segmentation in
  contrast-enhanced CT imaging: Results of the KiTS19 Challenge
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge
N. Heller
Fabian Isensee
Klaus H. Maier-Hein
X. Hou
Chunmei Xie
...
S. Peterson
A. Kalapara
N. Sathianathen
Nikolaos Papanikolopoulos
C. Weight
57
489
0
02 Dec 2019
Med3D: Transfer Learning for 3D Medical Image Analysis
Med3D: Transfer Learning for 3D Medical Image Analysis
Sihong Chen
Kai Ma
Yefeng Zheng
MedIm
64
464
0
01 Apr 2019
A large annotated medical image dataset for the development and
  evaluation of segmentation algorithms
A large annotated medical image dataset for the development and evaluation of segmentation algorithms
Amber L. Simpson
Michela Antonelli
Spyridon Bakas
Michel Bilello
Keyvan Farahani
...
M. McHugo
S. Napel
Eugene Vorontsov
Lena Maier-Hein
M. Jorge Cardoso
117
862
0
25 Feb 2019
The Liver Tumor Segmentation Benchmark (LiTS)
The Liver Tumor Segmentation Benchmark (LiTS)
Patrick Bilic
P. Christ
Hongwei Bran Li
Eugene Vorontsov
Avi Ben-Cohen
...
L. Soler
Bram van Ginneken
H. Greenspan
Leo Joskowicz
Bjoern Menze
124
1,025
0
13 Jan 2019
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