Work

Validation of a deep learning model for classification of pediatric pneumonia in Hong Kong

Year: 2024
Type: article
Abstract: • A deep learning model was developed to screen pediatric chest x-rays for pneumonia. • The model automatically classifies chest x-rays as positive or negative for pneumonia. • Model was validated by comparing its output to classification from trained evaluators. • Model has high accuracy, sensitivity and specificity compared to human interpretation. • Cropping the images improved the model's classification performance.
Source: Vaccine
Language: English
Field: Medicine
Open Access status: hybrid
Estimated APC paid: $3,650
OpenAlex ID: W4402711628
FWCI: 0.457
Cites: 28
Cited by: 2
Related to: 10