Blended Multi-Modal Deep ConvNet Features for Diabetic Retinopathy Severity Prediction

Blended Multi-Modal Deep ConvNet Features for Diabetic Retinopathy Severity Prediction

Diabetic Retinopathy (DR) is one of the major causes of visual impairment and blindness across the world. It is usually found in patients who suffer from diabetes for a long period. The major focus of this work is to derive optimal representation of retinal images that further helps to improve the p...

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Bibliographic Details
Main Authors: Jyostna Devi Bodapati, Veeranjaneyulu Naralasetti, Shaik Nagur Shareef, Saqib Hakak, Muhammad Bilal, Praveen Kumar Reddy Maddikunta, Ohyun Jo
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Electronics
Subjects:
diabetic retinopathy (DR)
pre-trained deep ConvNet
uni-modal deep features
multi-modal deep features
transfer learning
1D pooling
Online Access:https://www.mdpi.com/2079-9292/9/6/914

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https://www.mdpi.com/2079-9292/9/6/914

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