Colorizing Grayscale CT Images of Human Lung Using Deep Learning
The COVID-19 epidemic has broken out globally and will influence human healthy history perpetually. We notice that Computed Tomography (CT) images are grayscale ones from the point of view of digital signal visualization. Therefore, we contemplate whether the automatically rendering colours for the...
Main Author: | Wang, Yuewei (Author) |
---|---|
Other Authors: | Yan, Wei Qi (Contributor) |
Format: | Others |
Published: |
Auckland University of Technology,
2021-06-09T21:59:10Z.
|
Subjects: | |
Online Access: | Get fulltext |
Similar Items
-
Video Forensics: Identifying Colorized Images Using Deep Learning
by: Carlos Ulloa, et al.
Published: (2021-01-01) -
Using Machine Learning via Deep Learning Algorithms to Diagnose the Lung Disease Based on Chest Imaging: A Survey
by: Shaymaa Taha Ahmed, et al.
Published: (2021-08-01) -
Grayscale Image Colorization Methods: Overview and Evaluation
by: Ivana Zeger, et al.
Published: (2021-01-01) -
Lung Segmentation Using Proposed Deep Learning Architecture
by: Hayder Ayad, et al.
Published: (2020-12-01) -
Deep learning from MRI-derived labels enables automatic brain tissue classification on human brain CT
by: Meera Srikrishna, et al.
Published: (2021-12-01)