Deep learning-based super resolution methodology for positron emission tomography imaging: 4CP22-29
Saved in:
Main Authors: | Leandro Rodríguez Hernández, Humberto Ochoa Domínguez |
---|---|
Language: | spa |
Published: |
Instituto de Ingeniería y Tecnología - Universidad Autónoma de Ciudad Juárez
2022
|
Subjects: | |
Online Access: | http://erevistas.uacj.mx/ojs/index.php/memoriascyt/article/view/5552 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Dictionary-based super resolution for positron emission tomography images
by: Rodríguez Hernández, Leandro José
Published: (2019) -
Reconstruction of Positron Emission Tomography Images Using Gaussian Curvature
by: mejia, jose
Published: (2018) -
Overview of Super-resolution Techniques
by: Morera Delfín, Leandro
Published: (2018) -
Detection of COVID-19 Lung Lesions in Computed Tomography Images Using Deep Learning
Published: (2022) -
Residual 3D convolutional neural network to enhance sinograms from small-animal positron emission tomography images
Published: (2023)