ColorMedGAN: A Semantic Colorization Framework for Medical Images
Colorization for medical images helps make medical visualizations more engaging, provides better visualization in 3D reconstruction, acts as an image enhancement technique for tasks such as segmentation, and makes it easier for non-specialists to perceive tissue changes and texture details in medica...
Main Authors: | Shaobo Chen, Ning Xiao, Xinlai Shi, Yuer Yang, Huaning Tan, Jiajuan Tian, Yujuan Quan |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-03-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/13/5/3168 |
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