An Alternative Diagnostic Method for <i>C. neoformans</i>: Preliminary Results of Deep-Learning Based Detection Model

An Alternative Diagnostic Method for <i>C. neoformans</i>: Preliminary Results of Deep-Learning Based Detection Model

<i>Cryptococcus neoformans</i> is an opportunistic fungal pathogen with significant medical importance, especially in immunosuppressed patients. It is the causative agent of cryptococcosis. An estimated 220,000 annual cases of cryptococcal meningitis (CM) occur among people with HIV/AIDS...

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Bibliographic Details
Main Authors: Ayse Seyer Cagatan, Mubarak Taiwo Mustapha, Cemile Bagkur, Tamer Sanlidag, Dilber Uzun Ozsahin
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Diagnostics
Subjects:
artificial intelligence
<i>C. neoformans</i>
cryptococcosis
deep learning
diagnosis
Online Access:https://www.mdpi.com/2075-4418/13/1/81

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