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Explainable Lung Disease Classification from Chest X-Ray Images Utilizing Deep Learning and XAI
April 18, 2024, 4:44 a.m. | Tanzina Taher Ifty, Saleh Ahmed Shafin, Shoeb Mohammad Shahriar, Tashfia Towhid
cs.CV updates on arXiv.org arxiv.org
Abstract: Lung diseases remain a critical global health concern, and it's crucial to have accurate and quick ways to diagnose them. This work focuses on classifying different lung diseases into five groups: viral pneumonia, bacterial pneumonia, COVID, tuberculosis, and normal lungs. Employing advanced deep learning techniques, we explore a diverse range of models including CNN, hybrid models, ensembles, transformers, and Big Transfer. The research encompasses comprehensive methodologies such as hyperparameter tuning, stratified k-fold cross-validation, and transfer …
abstract advanced arxiv classification covid cs.cv cs.lg deep learning disease diseases eess.iv five global global health health images normal ray them tuberculosis type viral work xai x-ray
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