Deep learning approach for automated hMPV classification

Deep learning approach for automated hMPV classification

Abstract Human metapneumovirus (hMPV) is a significant cause of respiratory illness, particularly in children, elderly individuals, and immunocompromised patients. Despite its clinical relevance, hMPV poses diagnostic challenges due to its symptom similarity with other respiratory illnesses, such as...

Full description

Saved in:
Bibliographic Details
Main Authors: Sivarama Prasad Tera, Ravikumar Chinthaginjala, Irum Shahzadi, Priya Natha, Safia Obaidur Rab
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Human metapneumovirus (hMPV)
Deep learning
Convolutional neural networks (CNNs)
Respiratory pathogen detection
Dataset imbalance
Binary classification
Online Access:https://doi.org/10.1038/s41598-025-14467-1
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items