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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

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019
31 March 2020
Manvel Avetisian
V. Kokh
Alexander Tuzhilin
Dmitry Umerenkov
ArXiv (abs)PDFHTML

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

4 / 4 papers shown
Optimizing the Procedure of CT Segmentation Labeling
Optimizing the Procedure of CT Segmentation Labeling
Yaroslav Zharov
T. Baumbach
Vincent Heuveline
163
0
0
24 Mar 2023
Small Lesion Segmentation in Brain MRIs with Subpixel Embedding
Small Lesion Segmentation in Brain MRIs with Subpixel Embedding
A. Wong
Allison Chen
Yang Wu
Safa Cicek
Alexandre Tiard
Byung-Woo Hong
Stefano Soatto
MedIm
196
16
0
18 Sep 2021
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 LearningACM Transactions on Management Information Systems (ACM TMIS), 2021
Manvel Avetisian
I. Burenko
K. Egorov
V. Kokh
A. Nesterov
A. Nikolaev
Alexander Ponomarchuk
Elena Sokolova
Alexander Tuzhilin
Dmitry Umerenkov
OOD
208
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 applicationsIEEE Access (IEEE Access), 2020
N. Siddique
Sidike Paheding
Colin P. Elkin
Vijay Devabhaktuni
SSeg
348
1,482
0
02 Nov 2020
1
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