MicroNet: microaneurysm detection in retinal fundus images using convolutional neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-022-06752-2.pdf
Reference41 articles.
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3. Adal KM, Sidibé D, Ali S, Chaum E, Karnowski TP, Mériaudeau F (2014) Automated detection of microaneurysms using scale-adapted blob analysis and semi-supervised learning. Comput Methods Programs Biomed 114(1):1–10
4. Antal B, Hajdu A et al (2012) An ensemble-based system for microaneurysm detection and diabetic retinopathy grading. IEEE Trans Biomed Eng 59(6):1720
5. Beucher S (2007) Numerical residues. Image Vis Comput 25(4):405–415
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