A Complete Transfer Learning-Based Pipeline for Discriminating Between Select Pathogenic Yeasts from Microscopy Photographs

A Complete Transfer Learning-Based Pipeline for Discriminating Between Select Pathogenic Yeasts from Microscopy Photographs

Pathogenic yeasts are an increasing concern in healthcare, with species like <i>Candida auris</i> often displaying drug resistance and causing high mortality in immunocompromised patients. The need for rapid and accessible diagnostic methods for accurate yeast identification is critical,...

Full description

Saved in:
Bibliographic Details
Main Authors: Ryan A. Parker, Danielle S. Hannagan, Jan H. Strydom, Christopher J. Boon, Jessica Fussell, Chelbie A. Mitchell, Katie L. Moerschel, Aura G. Valter-Franco, Christopher T. Cornelison
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Pathogens
Subjects:
<i>Candida auris</i>
novel identification methodology
misidentification
computer vision
convolutional neural networks
microscopy
Online Access:https://www.mdpi.com/2076-0817/14/5/504
Tags: Add Tag
No Tags, Be the first to tag this record!
Login for hold and recall information

Internet

https://www.mdpi.com/2076-0817/14/5/504

Similar Items