HIUNET: A Hybrid Inception U-Net for Diagnosis of Diabetic Retinopathy

Author:

Deva Kumar S.,Venkatramaphanikumar S.,Venkata Krishna Kishore K.

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Reference59 articles.

1. Applications of deformable models for in-depth analysis and feature extraction from medical images-A review;Srinivasan;Pattern Recognition and Image Analysis,2013

2. The potential role of PKC β in diabetic retinopathy and macular edema;Aiello;Survey of Ophthalmology,2002

3. Grading diabetic retinopathy from stereoscopic color fundus photographs—An extension of the modified airlie house classification: Etdrs report number 10;Treatment;Ophthalmology,1991

4. Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy;Krause;Ophthalmology,2018

5. Detection of retinal lesions in diabetic retinopathy: Comparative evaluation of 7-field digital color photography versus red-free photography;Venkatesh;International Ophthalmology,2015

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