Analysis of U-Net Neural Network Training Parameters for Tomographic Images Segmentation

Analysis of U-Net Neural Network Training Parameters for Tomographic Images Segmentation

Image segmentation is one of the main resources in computer vision. Nowadays, this procedure can be made with high precision using Deep Learning, and this fact is important to applications of several research areas including medical image analysis. Image segmentation is currently applied to find tum...

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Bibliographic Details
Main Authors: Yana dos Santos Pereira, Davi Guimarães da Silva, Regina Cely Barroso, Anderson Alvarenga de Moura Meneses
Format: Article
Language:English
Published: Escuela Politécnica Nacional (EPN) 2023-07-01
Series:Latin-American Journal of Computing
Subjects:
deep learning
biomedical image segmentation
fully convolutional networks
u-net
computed tomography
Online Access:https://lajc.epn.edu.ec/index.php/LAJC/article/view/359

Internet

https://lajc.epn.edu.ec/index.php/LAJC/article/view/359

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