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Deep Learning-Based Throat Infection Detection: A Transfer Learning Approach with MobileNet, ResNet and DenseNet with Augmented Medical Image Analysis

2025-08-21

Abstract excerpt

<title>Abstract</title> <p>Deep learning offers a promising avenue for automated throat infection detection. This study assessed the performance of MobileNet, ResNet, and DenseNet, three Convolutional Neural Network (CNN) models, in classifying healthy versus pharyngitis-affected throat images. Training and testing were conducted using a labeled dataset, with performance evaluated through accuracy, loss, F1-score...

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Literature Corpus work
d5610bce-ef13-5ebb-a76c-457555f35390
DOI
10.21203/rs.3.rs-6952608/v1
Open publication

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Deep Learning-Based Throat Infection Detection: A Transfer Learning Approach with MobileNet, ResNet and DenseNet with Augmented Medical Image AnalysisDOI 10.21203/rs.3.rs-6952608/v1
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