Speed meets accuracy: Advanced deep learning for efficient Orientia tsutsugamushi bacteria assessment in RNAi screening

Speed meets accuracy: Advanced deep learning for efficient Orientia tsutsugamushi bacteria assessment in RNAi screening

This study investigates the use of advanced computer vision techniques for assessing the severity of Orientia tsutsugamushi bacterial infectivity. It uses fluorescent scrub typhus images obtained from molecular screening, and addresses challenges posed by a complex and extensive image dataset, with...

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Bibliographic Details
Main Authors: Potjanee Kanchanapiboon, Chuenchat Songsaksuppachok, Porncheera Chusorn, Panrasee Ritthipravat
Format: Article
Language:English
Published: Elsevier 2024-06-01
Series:Intelligent Systems with Applications
Subjects:
Orientia tsutsugamushi bacterial Infections
Deep learning
Object detection
Instance segmentation
Backbone size reduction
Precision floating-point
Online Access:http://www.sciencedirect.com/science/article/pii/S2667305324000322

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http://www.sciencedirect.com/science/article/pii/S2667305324000322

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