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Novel angular binary pattern (NABP) and kernel based convolutional neural networks classifier for ca...

Novel angular binary pattern (NABP) and kernel based convolutional neural networks classifier for ca...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2725717185

Novel angular binary pattern (NABP) and kernel based convolutional neural networks classifier for cataract detection

About this item

Full title

Novel angular binary pattern (NABP) and kernel based convolutional neural networks classifier for cataract detection

Publisher

New York: Springer US

Journal title

Multimedia tools and applications, 2022-11, Vol.81 (27), p.38485-38512

Language

English

Formats

Publication information

Publisher

New York: Springer US

More information

Scope and Contents

Contents

Cataract is considered as one of the foremost causes of blindness, especially among older people. In India, by the age 80, nearly half of older population either have cataract or they performed surgery for it. To avoid worse effects in eyesight like complete blindness or blurred vision, it is essential that cataract cases are detected in the initia...

Alternative Titles

Full title

Novel angular binary pattern (NABP) and kernel based convolutional neural networks classifier for cataract detection

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2725717185

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2725717185

Other Identifiers

ISSN

1380-7501

E-ISSN

1573-7721

DOI

10.1007/s11042-022-13092-8

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