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On Urinary Bladder Cancer Diagnosis: Utilization of Deep Convolutional Generative Adversarial Networ...

On Urinary Bladder Cancer Diagnosis: Utilization of Deep Convolutional Generative Adversarial Networ...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8ec6bcb0141b44488af1a7fb3ce61c85

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

About this item

Full title

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

Publisher

Switzerland: MDPI

Journal title

Biology (Basel, Switzerland), 2021-02, Vol.10 (3), p.175

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI

More information

Scope and Contents

Contents

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 less invasive and faster, accuracy is often lower....

Alternative Titles

Full title

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

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_8ec6bcb0141b44488af1a7fb3ce61c85

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8ec6bcb0141b44488af1a7fb3ce61c85

Other Identifiers

ISSN

2079-7737

E-ISSN

2079-7737

DOI

10.3390/biology10030175

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