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Automatic wound detection and size estimation using deep learning algorithms

Automatic wound detection and size estimation using deep learning algorithms

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2651153214

Automatic wound detection and size estimation using deep learning algorithms

About this item

Full title

Automatic wound detection and size estimation using deep learning algorithms

Publisher

United States: Public Library of Science

Journal title

PLoS computational biology, 2022-03, Vol.18 (3), p.e1009852

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Evaluating and tracking wound size is a fundamental metric for the wound assessment process. Good location and size estimates can enable proper diagnosis and effective treatment. Traditionally, laboratory wound healing studies include a collection of images at uniform time intervals exhibiting the wounded area and the healing process in the test an...

Alternative Titles

Full title

Automatic wound detection and size estimation using deep learning algorithms

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2651153214

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2651153214

Other Identifiers

ISSN

1553-7358,1553-734X

E-ISSN

1553-7358

DOI

10.1371/journal.pcbi.1009852

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