Developing New Fully Connected Layers for Convolutional Neural Networks with Hyperparameter Optimization for Improved Multi-Label Image Classification

Chest X-ray evaluation is challenging due to its high demand and the complexity of diagnoses. In this study, we propose an optimized deep learning model for the multi-label classification of chest X-ray images. We leverage pretrained convolutional neural networks (CNNs) such as VGG16, ResNet 50, and...

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Bibliografiske detaljer

Principais autores:	Tamás Katona, Gábor Tóth, Mátyás Petró, Balázs Harangi
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2024-03-01
Serier:	Mathematics
Fag:	chest X-ray multi-label classification convolutional neural networks deep learning Hyperband optimization VGG
Online adgang:	https://www.mdpi.com/2227-7390/12/6/806
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