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: | Wenjing Xue, Yingmei Wang, Zhien Qin |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10496689/ |
Similar Items
-
A General Multiscale Pyramid Attention Module for Ship Detection in SAR Images
by: Peng Wang, et al.
Published: (2024-01-01) -
Improved U-Net Remote Sensing Classification Algorithm Fusing Attention and Multiscale Features
by: Xiangsuo Fan, et al.
Published: (2022-07-01) -
LFEMAP-Net: Low-Level Feature Enhancement and Multiscale Attention Pyramid Aggregation Network for Building Extraction From High-Resolution Remote Sensing Images
by: Yu Liu, et al.
Published: (2024-01-01) -
Animal species detection and classification framework based on modified multi-scale attention mechanism and feature pyramid network
by: Chiagoziem C. Ukwuoma, et al.
Published: (2022-07-01) -
Adaptive learning feature pyramid for object detection
by: Fukoeng Wong, et al.
Published: (2019-12-01)