B2-Net: an artificial intelligence powered machine learning framework for the classification of pneumonia in chest x-ray images

A chest x-ray radiograph is still the global standard for diagnosing pneumonia and helps distinguish between bacterial and viral pneumonia. Despite several studies, radiologists and physicians still have trouble correctly diagnosing and classifying pneumonia without false negatives. Modern mathemati...

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Veröffentlicht in:	Machine learning: science and technology 2023-03, Vol.4 (1), p.15036
Hauptverfasser:	Abubeker, K M, Baskar, S
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Artificial intelligence Classification data augmentation depth wise convolution Diagnostic systems ensemble learning Graphics processing units Health care facilities Image classification Machine learning Medical imaging Neural networks Pneumonia Recall X-rays
Online-Zugang:	Volltext
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