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DC Field | Value | Language |
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dc.contributor.author | Nunez, D | - |
dc.contributor.author | Li, Y | - |
dc.date.accessioned | 2023-04-17T10:21:51Z | - |
dc.date.available | 2023-04-17T10:21:51Z | - |
dc.date.issued | 2023 | - |
dc.identifier | ORCID iD: Yongmin Li https://orcid.org/0000-0003-1668-2440. | - |
dc.identifier.citation | Nunez, D. and Li, Y. (2023) 'Skin Lesion Diagnosis Using Convolutional Neural Networks', Journal of Medical Systems, 0 (accepted, in press), pp. [1] - [14]. | en_US |
dc.identifier.issn | 0148-5598 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/26274 | - |
dc.format.extent | 1 - 14 | - |
dc.format.medium | Print-Electronic | - |
dc.language.iso | en_US | en_US |
dc.publisher | Springer Nature | en_US |
dc.rights | Copyright © [2023] The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/[insert DOI]. Rights and permissions: Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. (see: https://www.springernature.com/gp/open-research/policies/journal-policies). | - |
dc.rights.uri | https://www.springernature.com/gp/open-research/policies/journal-policies | - |
dc.subject | skin cancer | en_US |
dc.subject | skin lesion | en_US |
dc.subject | medical imaging | en_US |
dc.subject | deep learning | en_US |
dc.subject | convolutional neural networks | en_US |
dc.subject | DenseNet | en_US |
dc.subject | ResNet | en_US |
dc.subject | VGG | en_US |
dc.title | Skin Lesion Diagnosis Using Convolutional Neural Networks | en_US |
dc.type | Article | en_US |
dc.relation.isPartOf | Journal of Medical Systems | - |
pubs.publication-status | Unpublished | - |
pubs.volume | 0 | - |
dc.identifier.eissn | 1573-689X | - |
dc.rights.holder | The Author(s) | - |
Appears in Collections: | Dept of Computer Science Embargoed Research Papers |
Files in This Item:
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FullText.pdf | Embargoed until 12 months after publication | 502.56 kB | Adobe PDF | View/Open |
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