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...
Saved in:
Published in | Kompʹûternaâ optika Vol. 47; no. 5; pp. 770 - 777 |
---|---|
Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Samara National Research University
01.10.2023
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Be the first to leave a comment!