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Brigid Betz-Stablein

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

2

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Scholarly Papers (2)

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1.

Identification of Suspicious Naevi from Dermoscopy Images Using Machine Learning

Number of pages: 34 Posted: 11 Mar 2022
Fatima Shahad Al Zegair, Brigid Betz-Stablein, Zongyuan Ge, Anders Eriksson, Monika Janda, H. Peter Soyer and Shekhar S. Chandra
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)

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

2.

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

Number of pages: 20 Posted: 07 Jun 2024
Fatima Al Zegair, Brigid Betz-Stablein, Monika Janda, H. Peter Soyer and Shekhar S. Chandra
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)

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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