Automated decision support in melanocytic lesion management

Stephen J. Gilmore

doi:10.1371/journal.pone.0203459

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Open Access

Peer-reviewed

Research Article

Automated decision support in melanocytic lesion management

Stephen J. Gilmore

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: s.gilmore1@uq.edu.au

Affiliations Skin and Cancer Foundation, Melbourne, Australia, Dermatology Research Centre, Diamantina Institute, University of Queensland, Brisbane, Australia

http://orcid.org/0000-0002-6571-1052

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Automated decision support in melanocytic lesion management

Stephen J. Gilmore

Published: September 7, 2018
https://doi.org/10.1371/journal.pone.0203459

About the Authors

Stephen J. Gilmore

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: s.gilmore1@uq.edu.au

Affiliations Skin and Cancer Foundation, Melbourne, Australia, Dermatology Research Centre, Diamantina Institute, University of Queensland, Brisbane, Australia

http://orcid.org/0000-0002-6571-1052

Competing Interests

The authors have declared that no competing interests exist.

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Lesions
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Machine learning algorithms
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Melanoma
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Algorithms
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Support vector machines
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Cutaneous melanoma
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Decision making
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Principal component analysis
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