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Al-Azhar University – Gaza
2025
Lecture Notes in Networks and Systems
Efficient Respiratory Disease Classification Using Customized CNN on a Large Kaggle Dataset
1537 LNNS
105
117
Bhateja V.; Oroumchian F.; Tang J.; Omar Z.
Springer Science and Business Media Deutschland GmbH
University Malaysia of Computer Science & Engineering (UNIMY), Cyberjaya, Malaysia; Faculty of Engineering and Information Technology, Al-Azhar University, Gaza, Palestine
0
10.1007/978-981-96-9242-2_8
Computer aided diagnosis; Convolutional neural networks; Deep learning; Large datasets; Medical imaging; Pulmonary diseases; Chest X-ray image; Convolutional neural network; Diagnostics tools; Disease classification; Fine tuning; Global health; High quality; Research papers; Training process; Virus disease; Classification (of information)