On Urinary Bladder Cancer Diagnosis: Utilization of Deep Convolutional Generative Adversarial Networks for Data Augmentation

On Urinary Bladder Cancer Diagnosis: Utilization of Deep Convolutional Generative Adversarial Networks for Data Augmentation

Urinary bladder cancer is one of the most common urinary tract cancers. Standard diagnosis procedure can be invasive and time-consuming. For these reasons, procedure called optical biopsy is introduced. This procedure allows in-vivo evaluation of bladder mucosa without the need for biopsy. Although...

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Bibliographic Details
Main Authors: Ivan Lorencin, Sandi Baressi Šegota, Nikola Anđelić, Vedran Mrzljak, Tomislav Ćabov, Josip Španjol, Zlatan Car
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Biology
Subjects:
AlexNet
data augmentation
deep convolutional generative adversarial networks
urinary bladder cancer
VGG16
Online Access:https://www.mdpi.com/2079-7737/10/3/175

Internet

https://www.mdpi.com/2079-7737/10/3/175

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