Diagnostic Classification of Cystoscopic Images Using Deep Convolutional Neural Networks | Zendy

Okyaz Eminağa | Zendy; Nurettin Eminaga | Zendy; Axel Semjonow | Zendy; Bernhard Breil | Zendy

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Diagnostic Classification of Cystoscopic Images Using Deep Convolutional Neural Networks

Author(s) -

Okyaz Eminağa,

Nurettin Eminaga,

Axel Semjonow,

Bernhard Breil

Publication year - 2018

Publication title -

jco clinical cancer informatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.188

H-Index - 12

ISSN - 2473-4276

DOI - 10.1200/cci.17.00126

Subject(s) - artificial intelligence , convolutional neural network , test set , computer science , pattern recognition (psychology) , set (abstract data type) , deep learning , data set , feature (linguistics) , preprocessor , filter (signal processing) , computer vision , philosophy , linguistics , programming language

The recognition of cystoscopic findings remains challenging for young colleagues and depends on the examiner's skills. Computer-aided diagnosis tools using feature extraction and deep learning show promise as instruments to perform diagnostic classification.

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