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CheXmask: a large-scale dataset of anatomical segmentation masks for
  multi-center chest x-ray images

CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images

6 July 2023
Nicolás Gaggion
Candelaria Mosquera
Lucas Mansilla
Julia Mariel Saidman
M. Aineseder
Diego H. Milone
Enzo Ferrante
ArXivPDFHTML

Papers citing "CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images"

19 / 19 papers shown
Title
Mask of truth: model sensitivity to unexpected regions of medical images
Mask of truth: model sensitivity to unexpected regions of medical images
Théo Sourget
Michelle Hestbek-Møller
Amelia Jiménez-Sánchez
Jack Junchi Xu
Veronika Cheplygina
AAML
135
0
0
05 Dec 2024
Augmenting Chest X-ray Datasets with Non-Expert Annotations
Augmenting Chest X-ray Datasets with Non-Expert Annotations
Veronika Cheplygina
Cathrine Damgaard
Dovile Juodelyte
Veronika Cheplygina
Amelia Jiménez-Sánchez
92
4
0
05 Sep 2023
Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via
  Volumetric Pseudo-Labeling
Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-Labeling
C. Seibold
A. Jaus
M. Fink
Moon S. Kim
Simon Reiß
Ken Herrmann
Jens Kleesiek
Rainer Stiefelhagen
50
9
0
06 Jun 2023
Multi-center anatomical segmentation with heterogeneous labels via
  landmark-based models
Multi-center anatomical segmentation with heterogeneous labels via landmark-based models
Nicolás Gaggion
Maria Vakalopoulou
Diego H. Milone
Enzo Ferrante
44
5
0
14 Nov 2022
How precise are performance estimates for typical medical image
  segmentation tasks?
How precise are performance estimates for typical medical image segmentation tasks?
Rosana El Jurdi
O. Colliot
UQCV
44
6
0
26 Oct 2022
Detailed Annotations of Chest X-Rays via CT Projection for Report
  Understanding
Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding
C. Seibold
Simon Reiß
Saquib Sarfraz
M. Fink
Victoria L. Mayer
Jan Sellner
Moon S. Kim
Klaus H. Maier-Hein
Jens Kleesiek
Rainer Stiefelhagen
60
19
0
07 Oct 2022
Improving anatomical plausibility in medical image segmentation via
  hybrid graph neural networks: applications to chest x-ray analysis
Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis
Nicolás Gaggion
Lucas Mansilla
Candelaria Mosquera
Diego H. Milone
Enzo Ferrante
MedIm
35
39
0
21 Mar 2022
Hybrid graph convolutional neural networks for landmark-based anatomical
  segmentation
Hybrid graph convolutional neural networks for landmark-based anatomical segmentation
Nicolás Gaggion
Lucas Mansilla
Diego H. Milone
Enzo Ferrante
MedIm
20
8
0
17 Jun 2021
Post-DAE: Anatomically Plausible Segmentation via Post-Processing with
  Denoising Autoencoders
Post-DAE: Anatomically Plausible Segmentation via Post-Processing with Denoising Autoencoders
Agostina J. Larrazabal
Cesar E. Martínez
Ben Glocker
Enzo Ferrante
63
65
0
24 Jun 2020
Learning Deformable Registration of Medical Images with Anatomical
  Constraints
Learning Deformable Registration of Medical Images with Anatomical Constraints
Lucas Mansilla
Diego H. Milone
Enzo Ferrante
MedIm
44
81
0
20 Jan 2020
Joint Learning of Brain Lesion and Anatomy Segmentation from
  Heterogeneous Datasets
Joint Learning of Brain Lesion and Anatomy Segmentation from Heterogeneous Datasets
Nicolas Roulet
D. Slezak
Enzo Ferrante
36
11
0
08 Mar 2019
PadChest: A large chest x-ray image dataset with multi-label annotated
  reports
PadChest: A large chest x-ray image dataset with multi-label annotated reports
A. Bustos
A. Pertusa
J. M. Salinas
M. Iglesia-Vayá
LM&MA
64
612
0
22 Jan 2019
MIMIC-CXR-JPG, a large publicly available database of labeled chest
  radiographs
MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs
Alistair E. W. Johnson
Tom Pollard
Nathaniel R. Greenbaum
M. Lungren
Chih-ying Deng
Yifan Peng
Zhiyong Lu
R. Mark
Seth Berkowitz
Steven Horng
MedIm
89
809
0
21 Jan 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and
  Expert Comparison
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
Jeremy Irvin
Pranav Rajpurkar
M. Ko
Yifan Yu
Silviana Ciurea-Ilcus
...
D. Larson
C. Langlotz
Bhavik Patel
M. Lungren
A. Ng
110
2,583
0
21 Jan 2019
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep
  Learning
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
Pranav Rajpurkar
Jeremy Irvin
Kaylie Zhu
Brandon Yang
Hershel Mehta
...
Aarti Bagul
C. Langlotz
K. Shpanskaya
M. Lungren
A. Ng
LM&MA
78
2,696
0
14 Nov 2017
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on
  Weakly-Supervised Classification and Localization of Common Thorax Diseases
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
Xiaosong Wang
Yifan Peng
Le Lu
Zhiyong Lu
M. Bagheri
Ronald M. Summers
LM&MA
135
2,522
0
05 May 2017
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
584
10,741
0
19 Feb 2017
Reverse Classification Accuracy: Predicting Segmentation Performance in
  the Absence of Ground Truth
Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth
V. Valindria
I. Lavdas
Wenjia Bai
Konstantinos Kamnitsas
E. Aboagye
A. Rockall
Daniel Rueckert
Ben Glocker
55
127
0
11 Feb 2017
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.5K
76,894
0
18 May 2015
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