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A multi-scale pyramid of 3D fully convolutional networks for abdominal
  multi-organ segmentation

A multi-scale pyramid of 3D fully convolutional networks for abdominal multi-organ segmentation

6 June 2018
H. Roth
Chen Shen
H. Oda
T. Sugino
M. Oda
Y. Hayashi
K. Misawa
K. Mori
    SSeg
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Papers citing "A multi-scale pyramid of 3D fully convolutional networks for abdominal multi-organ segmentation"

19 / 19 papers shown
Title
Dynamic U-Net: Adaptively Calibrate Features for Abdominal Multi-organ
  Segmentation
Dynamic U-Net: Adaptively Calibrate Features for Abdominal Multi-organ Segmentation
Jin Yang
Daniel S. Marcus
Aristeidis Sotiras
SSeg
30
5
0
12 Mar 2024
A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal
  Multi-Organ Segmentation
A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation
Ziyan Huang
Zhongying Deng
Jin Ye
Haoyu Wang
Yan-Cheng Su
...
Junjun He
Yun Gu
Shaoting Zhang
Lixu Gu
Yu Qiao
ELM
19
3
0
07 Sep 2023
Multi-organ segmentation: a progressive exploration of learning
  paradigms under scarce annotation
Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation
Shiman Li
Haoran Wang
Yucong Meng
Chenxi Zhang
Zhijian Song
29
6
0
07 Feb 2023
Learning from partially labeled data for multi-organ and tumor
  segmentation
Learning from partially labeled data for multi-organ and tumor segmentation
Yutong Xie
Jianpeng Zhang
Yong-quan Xia
Chunhua Shen
MedIm
ViT
28
18
0
13 Nov 2022
Adaptive Contrastive Learning with Dynamic Correlation for Multi-Phase
  Organ Segmentation
Adaptive Contrastive Learning with Dynamic Correlation for Multi-Phase Organ Segmentation
Ho Hin Lee
Yucheng Tang
Han Liu
Yubo Fan
L. Cai
Qi Yang
Xin Yu
Shunxing Bao
Yuankai Huo
Bennett A. Landman
27
1
0
16 Oct 2022
Memory-efficient Segmentation of High-resolution Volumetric MicroCT
  Images
Memory-efficient Segmentation of High-resolution Volumetric MicroCT Images
Yuan Wang
Laura Blackie
I. Miguel-Aliaga
Wenjia Bai
3DV
18
3
0
31 May 2022
Pseudo-Label Guided Multi-Contrast Generalization for Non-Contrast
  Organ-Aware Segmentation
Pseudo-Label Guided Multi-Contrast Generalization for Non-Contrast Organ-Aware Segmentation
Ho Hin Lee
Yucheng Tang
Riqiang Gao
Qi Yang
Xin Yu
Shunxing Bao
J. Terry
J. Carr
Yuankai Huo
Bennett A. Landman
24
1
0
12 May 2022
Characterizing Renal Structures with 3D Block Aggregate Transformers
Characterizing Renal Structures with 3D Block Aggregate Transformers
Xin Yu
Yucheng Tang
Yinchi Zhou
Riqiang Gao
Qi Yang
...
Yuankai Huo
Zhoubing Xu
Thomas A. Lasko
R. Abramson
Bennett A. Landman
MedIm
ViT
29
3
0
04 Mar 2022
D-Former: A U-shaped Dilated Transformer for 3D Medical Image
  Segmentation
D-Former: A U-shaped Dilated Transformer for 3D Medical Image Segmentation
YiXuan Wu
Kuan-Yu Liao
Jintai Chen
Jinhong Wang
D. Z. Chen
Honghao Gao
Jian Wu
ViT
MedIm
21
106
0
03 Jan 2022
Recurrent Feature Propagation and Edge Skip-Connections for Automatic
  Abdominal Organ Segmentation
Recurrent Feature Propagation and Edge Skip-Connections for Automatic Abdominal Organ Segmentation
Zefan Yang
Di Lin
Dong Ni
Yi Wang
MedIm
23
6
0
02 Jan 2022
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image
  Analysis
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis
Yucheng Tang
Dong Yang
Wenqi Li
H. Roth
Bennett Landman
Daguang Xu
V. Nath
Ali Hatamizadeh
ViT
MedIm
39
517
0
29 Nov 2021
Recurrent U-net for automatic pelvic floor muscle segmentation on 3D
  ultrasound
Recurrent U-net for automatic pelvic floor muscle segmentation on 3D ultrasound
F. V. D. Noort
B. Sirmaçek
C. Slump
15
6
0
29 Jul 2021
Semantic-Aware Contrastive Learning for Multi-object Medical Image
  Segmentation
Semantic-Aware Contrastive Learning for Multi-object Medical Image Segmentation
Ho Hin Lee
Yucheng Tang
Qi Yang
Xin Yu
Shunxing Bao
L. Cai
Lucas W. Remedios
Bennett A. Landman
Yuankai Huo
26
8
0
03 Jun 2021
Automated liver tissues delineation techniques: A systematic survey on
  machine learning current trends and future orientations
Automated liver tissues delineation techniques: A systematic survey on machine learning current trends and future orientations
Ayman Al-Kababji
F. Bensaali
S. Dakua
Yassine Himeur
36
21
0
10 Mar 2021
RAP-Net: Coarse-to-Fine Multi-Organ Segmentation with Single Random
  Anatomical Prior
RAP-Net: Coarse-to-Fine Multi-Organ Segmentation with Single Random Anatomical Prior
Ho Hin Lee
Yucheng Tang
Shunxing Bao
R. Abramson
Yuankai Huo
Bennett A. Landman
SSeg
15
11
0
23 Dec 2020
DoDNet: Learning to segment multi-organ and tumors from multiple
  partially labeled datasets
DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets
Jianpeng Zhang
Yutong Xie
Yong-quan Xia
Chunhua Shen
19
155
0
20 Nov 2020
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
SSeg
OOD
26
325
0
28 Oct 2020
Coarse-to-fine volumetric segmentation of teeth in Cone-Beam CT
Coarse-to-fine volumetric segmentation of teeth in Cone-Beam CT
M. Ezhov
A. Zakirov
Maxim Gusarev
17
25
0
24 Oct 2018
Semi-Supervised Multi-Organ Segmentation via Deep Multi-Planar
  Co-Training
Semi-Supervised Multi-Organ Segmentation via Deep Multi-Planar Co-Training
Yuyin Zhou
Yan Wang
Peng Tang
S. Bai
Wei Shen
Elliot K. Fishman
Alan Yuille
22
129
0
07 Apr 2018
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