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Interactive Blood Vessel Segmentation from Retinal Fundus Image Based on Canny Edge Detector

Interactive Blood Vessel Segmentation from Retinal Fundus Image Based on Canny Edge Detector

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_115dc4afd12d41ab9af175ad9ec7797f

Interactive Blood Vessel Segmentation from Retinal Fundus Image Based on Canny Edge Detector

About this item

Full title

Interactive Blood Vessel Segmentation from Retinal Fundus Image Based on Canny Edge Detector

Publisher

Basel: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2021-09, Vol.21 (19), p.6380

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Optometrists, ophthalmologists, orthoptists, and other trained medical professionals use fundus photography to monitor the progression of certain eye conditions or diseases. Segmentation of the vessel tree is an essential process of retinal analysis. In this paper, an interactive blood vessel segmentation from retinal fundus image based on Canny ed...

Alternative Titles

Full title

Interactive Blood Vessel Segmentation from Retinal Fundus Image Based on Canny Edge Detector

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_115dc4afd12d41ab9af175ad9ec7797f

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_115dc4afd12d41ab9af175ad9ec7797f

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s21196380

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