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HDC-Net: A hierarchical dilation convolutional network for retinal vessel segmentation

HDC-Net: A hierarchical dilation convolutional network for retinal vessel segmentation

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2570021520

HDC-Net: A hierarchical dilation convolutional network for retinal vessel segmentation

About this item

Full title

HDC-Net: A hierarchical dilation convolutional network for retinal vessel segmentation

Publisher

United States: Public Library of Science

Journal title

PloS one, 2021-09, Vol.16 (9), p.e0257013-e0257013

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

The cardinal symptoms of some ophthalmic diseases observed through exceptional retinal blood vessels, such as retinal vein occlusion, diabetic retinopathy, etc. The advanced deep learning models used to obtain morphological and structural information of blood vessels automatically are conducive to the early treatment and initiative prevention of op...

Alternative Titles

Full title

HDC-Net: A hierarchical dilation convolutional network for retinal vessel segmentation

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2570021520

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2570021520

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0257013

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