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

SIMPLE SUMMARY: One of the main challenges in the application of Machine Learning in medicine is data collection. Either due to ethical concerns or lack of patients, data may be scarce. In this paper Deep Convolutional Generative Adversarial Networks (DCGAN) have been applied for the purpose of data...

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Detalles Bibliográficos
Autores principales: Lorencin, Ivan, Baressi Šegota, Sandi, Anđelić, Nikola, Mrzljak, Vedran, Ćabov, Tomislav, Španjol, Josip, Car, Zlatan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7996800/
https://www.ncbi.nlm.nih.gov/pubmed/33652727
http://dx.doi.org/10.3390/biology10030175

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7996800/
https://www.ncbi.nlm.nih.gov/pubmed/33652727
http://dx.doi.org/10.3390/biology10030175

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