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2007.15546
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Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients
29 July 2020
Sofie Tilborghs
Ine Dirks
Lucas Fidon
S. Willems
Tom Eelbode
J. Bertels
B. Ilsen
A. Brys
A. Dubbeldam
N. Buls
Panagiotis Gonidakis
S. Sánchez
A. Snoeckx
P. Parizel
J. Mey
Dirk Vandermeulen
Tom Kamiel Magda Vercauteren
D. Robben
D. Smeets
F. Maes
Jef Vandemeulebroucke
P. Suetens
OOD
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Papers citing
"Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients"
3 / 3 papers shown
Title
A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron
Asifullah Khan
Dr. Saddam Hussain Khan
Mahrukh Saif
Asiya Batool
A. Sohail
Muhammad Waleed Khan
19
48
0
13 Feb 2022
Generalized Wasserstein Dice Score, Distributionally Robust Deep Learning, and Ranger for brain tumor segmentation: BraTS 2020 challenge
Lucas Fidon
Sebastien Ourselin
Tom Kamiel Magda Vercauteren
OOD
MedIm
10
41
0
03 Nov 2020
Distributionally Robust Deep Learning using Hardness Weighted Sampling
Lucas Fidon
Michael Aertsen
Thomas Deprest
Doaa Emam
Frédéric Guffens
...
Andrew Melbourne
Sébastien Ourselin
Jan Deprest
Georg Langs
Tom Kamiel Magda Vercauteren
OOD
11
10
0
08 Jan 2020
1