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Fatima Al Zegair

affiliation not provided to SSRN

  • affiliation not provided to SSRN

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Scholarly Papers (1)

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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
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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