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Radiologist-level stroke classification on non-contrast CT scans with
  Deep U-Net

Radiologist-level stroke classification on non-contrast CT scans with Deep U-Net

31 March 2020
Manvel Avetisian
V. Kokh
Alexander Tuzhilin
Dmitry Umerenkov
ArXivPDFHTML

Papers citing "Radiologist-level stroke classification on non-contrast CT scans with Deep U-Net"

4 / 4 papers shown
Title
Optimizing the Procedure of CT Segmentation Labeling
Optimizing the Procedure of CT Segmentation Labeling
Yaroslav Zharov
T. Baumbach
Vincent Heuveline
35
0
0
24 Mar 2023
CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19
  Patients Using Deep Learning
CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19 Patients Using Deep Learning
Manvel Avetisian
I. Burenko
K. Egorov
V. Kokh
A. Nesterov
A. Nikolaev
Alexander Ponomarchuk
Elena Sokolova
Alexander Tuzhilin
Dmitry Umerenkov
OOD
34
5
0
25 May 2021
U-Net and its variants for medical image segmentation: theory and
  applications
U-Net and its variants for medical image segmentation: theory and applications
N. Siddique
Sidike Paheding
Colin P. Elkin
Vijay Devabhaktuni
SSeg
28
1,045
0
02 Nov 2020
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
343
10,639
0
19 Feb 2017
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