Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks

Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks

In this paper, an automatic algorithm aimed at volumetric segmentation of acute ischemic stroke lesion in non-contrast computed tomography brain 3D images is proposed. Our deep-learning approach is based on the popular 3D U-Net convolutional neural network architecture, which was modified by adding...

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Bibliographic Details
Main Authors: A.V. Dobshik, S.K. Verbitskiy, I.A. Pestunov, K.M. Sherman, Yu.N. Sinyavskiy, A.A. Tulupov, V.B. Berikov
Format: Article
Language:English
Published: Samara National Research University 2023-10-01
Series:Компьютерная оптика
Subjects:
ischemic stroke
brain
non-contrast ct
segmentation
cnn
3d u-net
Online Access:https://www.computeroptics.ru/eng/KO/Annot/KO47-5/470511e.html
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https://www.computeroptics.ru/eng/KO/Annot/KO47-5/470511e.html

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