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Lesion Net -- Skin Lesion Segmentation Using Coordinate Convolution and Deep Residual Units

Lesion Net -- Skin Lesion Segmentation Using Coordinate Convolution and Deep Residual Units

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2473582152

Lesion Net -- Skin Lesion Segmentation Using Coordinate Convolution and Deep Residual Units

About this item

Full title

Lesion Net -- Skin Lesion Segmentation Using Coordinate Convolution and Deep Residual Units

Author / Creator

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2020-12

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Skin lesions segmentation is an important step in the process of automated diagnosis of the skin melanoma. However, the accuracy of segmenting melanomas skin lesions is quite a challenging task due to less data for training, irregular shapes, unclear boundaries, and different skin colors. Our proposed approach helps in improving the accuracy of ski...

Alternative Titles

Full title

Lesion Net -- Skin Lesion Segmentation Using Coordinate Convolution and Deep Residual Units

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2473582152

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2473582152

Other Identifiers

E-ISSN

2331-8422

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