Multiscale Feature Attention Module Based Pyramid Network for Medical Digital Radiography Image Enhancement
Medical digital radiography (DR) is widely used in the clinical application. To deal with the problems of noise, edge blur, low contrast in DR images, we propose a multiscale feature attention module based pyramid enhancement network by training image blocks. The network is in the framework of a sim...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10496689/ |