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A Convolutional Neural Network Architecture for Segmentation of Lung Diseases Using Chest X-ray Imag...

A Convolutional Neural Network Architecture for Segmentation of Lung Diseases Using Chest X-ray Imag...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_db8bf76ff1eb4017b0f23f0fe8cbe30d

A Convolutional Neural Network Architecture for Segmentation of Lung Diseases Using Chest X-ray Images

About this item

Full title

A Convolutional Neural Network Architecture for Segmentation of Lung Diseases Using Chest X-ray Images

Publisher

Switzerland: MDPI AG

Journal title

Diagnostics (Basel), 2023-05, Vol.13 (9), p.1651

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

The segmentation of lungs from medical images is a critical step in the diagnosis and treatment of lung diseases. Deep learning techniques have shown great promise in automating this task, eliminating the need for manual annotation by radiologists. In this research, a convolution neural network architecture is proposed for lung segmentation using c...

Alternative Titles

Full title

A Convolutional Neural Network Architecture for Segmentation of Lung Diseases Using Chest X-ray Images

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_db8bf76ff1eb4017b0f23f0fe8cbe30d

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_db8bf76ff1eb4017b0f23f0fe8cbe30d

Other Identifiers

ISSN

2075-4418

E-ISSN

2075-4418

DOI

10.3390/diagnostics13091651

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