APNet: Adaptive Patch-based Network for Microaneurysm Detection in Fundus Images
Author:
Affiliation:
1. School of Computer Science and Engineering of Tianjin University of Technology,Engineering Research Center of Learning-Based Intelligent System, Ministry of Education,Tianjin,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10595551/10595675/10595753.pdf?arnumber=10595753
Reference25 articles.
1. IDF Diabetes Atlas: A review of studies utilising retinal photography on the global prevalence of diabetes related retinopathy between 2015 and 2018
2. Fully automated diabetic retinopathy screening using morphological component analysis
3. Microaneurysm detection in fundus images using a two-step convolutional neural network
4. Automatic microaneurysm detection in fundus image based on local cross-section transformation and multi-feature fusion
5. Discrimination of microaneurysm in color retinal images using texture descriptors
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