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A Comparative Study of Deep Learning Architectures for Chest X-Ray Image Classification

Comparative Analysis of Deep Learning Models for Chest X-Ray Image Classification Author: Akrash Noor, Saba Latif & Hifzun Nisa | Published: December 21, 2025 | Category: AI · Medical Imaging · Deep Learning Introduction Medical imaging has become an important aspect in the contemporary healthcare and especially the diagnosis of thoracic diseases utilizing the images of chest X-ray. In recent years, artificial intelligence has advanced significantly, and convolutional neural networks that are based on deep learning have demonstrated impressive results in the domain of automated disease detection and classification. This paper compares and contrasts several deep learning models that are trained on chest X-ray data with PyTorch and TensorFlow in their accuracy, generalization, and computational efficiency. Deep Learning Models Used Custom Convolutional Neural Networks (CNN) ResNet (Residual Networks) DenseNet VGG-styl...

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