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H. Peter Soyer

University of Queensland - Faculty of Medicine

Brisbane, Queensland

Australia

SCHOLARLY PAPERS

3

DOWNLOADS

203

TOTAL CITATIONS

0

Scholarly Papers (3)

1.

Predictive Models of Melanoma Metastasis Based on Dermatoscopy: An International Human Reader Study

Number of pages: 29 Posted: 26 Apr 2025
Aristotle University of Thessaloniki, Medical University of Vienna - Department of Dermatology, Medical University of Vienna - Department of Dermatology, Memorial Sloan Kettering Cancer Center, University of Tübingen - Centre for Dermatooncology, University of Campania Luigi Vanvitelli, Universidade Federal do Rio Grande do Sul (UFRGS), University Hospital Zurich - Department of Dermatology, Universidad de Buenos Aires, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Universidad de Barcelona - Hospital Clínic Barcelona, Memorial Sloan Kettering Cancer Center, Universidad de Barcelona - Hospital Clínic Barcelona, Chaim Sheba Medical Center, Clinic Thalkrichner Strasse - Department of Dermatology, Tokyo Women's Medical University - Adachi Medical Center, Universidade Federal do Rio Grande do Sul (UFRGS), University of Trieste, Sheba Medical Center, University of Campania Luigi Vanvitelli, Universidad de Buenos Aires, Monash University, University of Queensland, University of Queensland, Tokyo Women's Medical University - Adachi Medical Center, University of Queensland, Hospices Civils de Lyon, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Glenferrien Dermatology, The Alfred Hospital - Victorian Melanoma Service, Lyon Sud Hospital, University of Queensland - Faculty of Medicine, Aristotle University of Thessaloniki, Aristotle University of Thessaloniki, University of Trieste and Aristotle University of Thessaloniki
Downloads 111 (640,165)

Abstract:

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melanoma, metastasis, dermatoscopy, prognosis, biomarkers

2.

Identification of Suspicious Naevi from Dermoscopy Images Using Machine Learning

Number of pages: 34 Posted: 11 Mar 2022
University of Queensland - School of Information Technology and Electrical Engineering, affiliation not provided to SSRN, Monash University - eResearch Centre, University of Queensland, University of Queensland - Centre for Health Services Research, University of Queensland - Faculty of Medicine and affiliation not provided to SSRN
Downloads 53 (1,031,043)

Abstract:

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Lesion classification, Suspicious naevus, machine learning, Dermoscopy images, Convolutional Neural Networks, Artificial Neural Network

3.

Identifying Suspicious Naevi: Dermoscopic Image Classification with Variational Autoencoder Auxiliary Classifier Generative Adversarial Networks

Number of pages: 20 Posted: 07 Jun 2024
affiliation not provided to SSRN, affiliation not provided to SSRN, University of Queensland - Centre for Health Services Research, University of Queensland - Faculty of Medicine and affiliation not provided to SSRN
Downloads 39 (1,196,171)

Abstract:

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suspicious naevi, non-suspicious naevi, Deep Convolutional Generative Adversarial Network (DCGAN), Auxiliary Classifier Generative Adversarial Network (ACGAN), Variational Autoencoder Auxiliary Classifier Generative Adversarial Network (VAE-ACGAN), manifold