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PRAPNet: A Parallel Residual Atrous Pyramid Network for Polyp Segmentation

PRAPNet: A Parallel Residual Atrous Pyramid Network for Polyp Segmentation

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5bc06e2c9bc3441ba626653fc4195c9a

PRAPNet: A Parallel Residual Atrous Pyramid Network for Polyp Segmentation

About this item

Full title

PRAPNet: A Parallel Residual Atrous Pyramid Network for Polyp Segmentation

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2022-06, Vol.22 (13), p.4658

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

In a colonoscopy, accurate computer-aided polyp detection and segmentation can help endoscopists to remove abnormal tissue. This reduces the chance of polyps developing into cancer, which is of great importance. In this paper, we propose a neural network (parallel residual atrous pyramid network or PRAPNet) based on a parallel residual atrous pyram...

Alternative Titles

Full title

PRAPNet: A Parallel Residual Atrous Pyramid Network for Polyp Segmentation

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_5bc06e2c9bc3441ba626653fc4195c9a

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5bc06e2c9bc3441ba626653fc4195c9a

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s22134658

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