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Dual-feature Fusion Attention Network for Small Object Segmentation

Dual-feature Fusion Attention Network for Small Object Segmentation

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2813560662

Dual-feature Fusion Attention Network for Small Object Segmentation

About this item

Full title

Dual-feature Fusion Attention Network for Small Object Segmentation

Publisher

United States: Elsevier Ltd

Journal title

Computers in biology and medicine, 2023-06, Vol.160, p.106985-106985, Article 106985

Language

English

Formats

Publication information

Publisher

United States: Elsevier Ltd

More information

Scope and Contents

Contents

AbstractAccurate segmentation of medical images is an important step during radiotherapy planning and clinical diagnosis. However, manually marking organ or lesion boundaries is tedious, time-consuming, and prone to error due to subjective variability of radiologist. Automatic segmentation remains a challenging task owing to the variation (in shape...

Alternative Titles

Full title

Dual-feature Fusion Attention Network for Small Object Segmentation

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_2813560662

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2813560662

Other Identifiers

ISSN

0010-4825

E-ISSN

1879-0534

DOI

10.1016/j.compbiomed.2023.106985

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