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Mediastinal lymph nodes segmentation using 3D convolutional neural
  network ensembles and anatomical priors guiding

Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding

11 February 2021
D. Bouget
André Pedersen
J. Vanel
H. O. Leira
T. Langø
ArXivPDFHTML

Papers citing "Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding"

28 / 28 papers shown
Title
Longitudinal Assessment of Lung Lesion Burden in CT
Longitudinal Assessment of Lung Lesion Burden in CT
T. Mathai
Benjamin Hou
Ronald M. Summers
86
0
0
09 Apr 2025
From Slices to Sequences: Autoregressive Tracking Transformer for Cohesive and Consistent 3D Lymph Node Detection in CT Scans
Qinji Yu
Yirui Wang
K. Yan
Dandan Zheng
Dashan Ai
...
N. Shen
Xiaowei Ding
Le Lu
X. Ye
Dakai Jin
ViT
MedIm
131
0
0
11 Mar 2025
LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification
LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification
Reuben Dorent
Roya Khajavi
Tagwa Idris
Erik Ziegler
B. Somarouthu
...
Minghui Zhang
Steve Pieper
Gordon Harris
Ron Kikinis
Tina Kapur
66
5
0
19 Aug 2024
Effective Lymph Nodes Detection in CT Scans Using Location Debiased Query Selection and Contrastive Query Representation in Transformer
Effective Lymph Nodes Detection in CT Scans Using Location Debiased Query Selection and Contrastive Query Representation in Transformer
Qinji Yu
Yirui Wang
K. Yan
Haoshen Li
Dazhou Guo
...
Na Shen
Qifeng Wang
Xiaowei Ding
X. Ye
Dakai Jin
MedIm
92
2
0
04 Apr 2024
Meningioma segmentation in T1-weighted MRI leveraging global context and
  attention mechanisms
Meningioma segmentation in T1-weighted MRI leveraging global context and attention mechanisms
D. Bouget
André Pedersen
Sayied Abdol Mohieb Hosainey
O. Solheim
Ingerid Reinertsen
76
24
0
19 Jan 2021
Lymph Node Gross Tumor Volume Detection and Segmentation via
  Distance-based Gating using 3D CT/PET Imaging in Radiotherapy
Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-based Gating using 3D CT/PET Imaging in Radiotherapy
Zhuotun Zhu
D. Jin
K. Yan
T. Ho
X. Ye
Dazhou Guo
Chun-Hung Chao
Jing Xiao
Alan Yuille
Le Lu
58
30
0
27 Aug 2020
Automatic lung segmentation in routine imaging is primarily a data
  diversity problem, not a methodology problem
Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem
J. Hofmanninger
F. Prayer
Jeanny Pan
Sebastian Rohrich
H. Prosch
Georg Langs
60
46
0
31 Jan 2020
CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation
CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation
A. Emre Kavur
N. Gezer
M. Baris
Sinem Aslan
Pierre-Henri Conze
...
Klaus H. Maier-Hein
G. Akar
Gözde B. Ünal
O. Dicle
M. Alper Selver
78
613
0
17 Jan 2020
Multi-scale self-guided attention for medical image segmentation
Multi-scale self-guided attention for medical image segmentation
Ashish Sinha
Jose Dolz
SSeg
59
415
0
07 Jun 2019
A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT
A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT
Sulaiman Vesal
Nishant Ravikumar
Andreas Maier
34
44
0
19 May 2019
YOLACT: Real-time Instance Segmentation
YOLACT: Real-time Instance Segmentation
Daniel Bolya
Chong Zhou
Fanyi Xiao
Yong Jae Lee
SSeg
VLM
ISeg
108
1,652
0
04 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
83
850
0
25 Feb 2019
Brain Tumor Segmentation using an Ensemble of 3D U-Nets and Overall
  Survival Prediction using Radiomic Features
Brain Tumor Segmentation using an Ensemble of 3D U-Nets and Overall Survival Prediction using Radiomic Features
Xue Feng
Nicholas J. Tustison
C. Meyer
57
224
0
03 Dec 2018
A Novel Focal Tversky loss function with improved Attention U-Net for
  lesion segmentation
A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentation
Nabila Abraham
N. Khan
SSeg
MedIm
60
699
0
18 Oct 2018
Dual Attention Network for Scene Segmentation
Dual Attention Network for Scene Segmentation
J. Fu
Qingbin Liu
Haijie Tian
Yong Li
Yongjun Bao
Zhiwei Fang
Hanqing Lu
SSeg
257
5,079
0
09 Sep 2018
Abdominal multi-organ segmentation with organ-attention networks and
  statistical fusion
Abdominal multi-organ segmentation with organ-attention networks and statistical fusion
Yan Wang
Yuyin Zhou
Wei Shen
Seyoun Park
Elliot K. Fishman
Alan Yuille
28
216
0
23 Apr 2018
YOLOv3: An Incremental Improvement
YOLOv3: An Incremental Improvement
Joseph Redmon
Ali Farhadi
ObjD
96
21,306
0
08 Apr 2018
Learn To Pay Attention
Learn To Pay Attention
Saumya Jetley
Nicholas A. Lord
Namhoon Lee
Philip Torr
93
437
0
06 Apr 2018
Evaluate the Malignancy of Pulmonary Nodules Using the 3D Deep Leaky
  Noisy-or Network
Evaluate the Malignancy of Pulmonary Nodules Using the 3D Deep Leaky Noisy-or Network
Fangzhou Liao
Ming Liang
Zhe Li
Xiaolin Hu
Sen Song
MedIm
60
419
0
22 Nov 2017
Automated cardiovascular magnetic resonance image analysis with fully
  convolutional networks
Automated cardiovascular magnetic resonance image analysis with fully convolutional networks
Wenjia Bai
Matthew Sinclair
G. Tarroni
Ozan Oktay
Martin Rajchl
...
S. Petersen
Stefan K. Piechnik
S. Neubauer
Ben Glocker
Daniel Rueckert
32
34
0
25 Oct 2017
Rethinking Atrous Convolution for Semantic Image Segmentation
Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
170
8,425
0
17 Jun 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
307
27,018
0
20 Mar 2017
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
Özgün Çiçek
Ahmed Abdulkadir
S. Lienkamp
Thomas Brox
Olaf Ronneberger
3DV
3DPC
SSeg
3DH
133
6,483
0
21 Jun 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
341
37,704
0
20 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.5K
192,638
0
10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.2K
76,547
0
18 May 2015
Deeply-Supervised Nets
Deeply-Supervised Nets
Chen-Yu Lee
Saining Xie
Patrick W. Gallagher
Zhengyou Zhang
Zhuowen Tu
287
2,229
0
18 Sep 2014
A New 2.5D Representation for Lymph Node Detection using Random Sets of
  Deep Convolutional Neural Network Observations
A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations
H. Roth
Le Lu
Ari Seff
Kevin M. Cherry
Joanne Hoffman
Shijun Wang
Jiamin Liu
E. Turkbey
Ronald M. Summers
MedIm
48
538
0
06 Jun 2014
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