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Diagnosis of Diabetic Retinopathy through Retinal Fundus Images and 3D Convolutional Neural Networks...

Diagnosis of Diabetic Retinopathy through Retinal Fundus Images and 3D Convolutional Neural Networks...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2603590949

Diagnosis of Diabetic Retinopathy through Retinal Fundus Images and 3D Convolutional Neural Networks with Limited Number of Samples

About this item

Full title

Diagnosis of Diabetic Retinopathy through Retinal Fundus Images and 3D Convolutional Neural Networks with Limited Number of Samples

Publisher

Oxford: Hindawi

Journal title

Wireless communications and mobile computing, 2021, Vol.2021 (1)

Language

English

Formats

Publication information

Publisher

Oxford: Hindawi

More information

Scope and Contents

Contents

Diabetic retinopathy (DR) is a worldwide problem associated with the human retina. It leads to minor and major blindness and is more prevalent among adults. Automated screening saves time of medical care specialists. In this work, we have used different deep learning (DL) based 3D convolutional neural network (3D-CNN) architectures for binary and m...

Alternative Titles

Full title

Diagnosis of Diabetic Retinopathy through Retinal Fundus Images and 3D Convolutional Neural Networks with Limited Number of Samples

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2603590949

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2603590949

Other Identifiers

ISSN

1530-8669

E-ISSN

1530-8677

DOI

10.1155/2021/6013448

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