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

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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Bibliographic Details
Main Authors: Tamás Katona, Gábor Tóth, Mátyás Petró, Balázs Harangi
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Mathematics
Subjects:
chest X-ray
multi-label classification
convolutional neural networks
deep learning
Hyperband optimization
VGG
Online Access:https://www.mdpi.com/2227-7390/12/6/806

Internet

https://www.mdpi.com/2227-7390/12/6/806

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