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What is Lung Auscultation Sound Classification about?

The project report focuses on the classification of respiratory disorders using lung auscultation sounds through deep learning techniques, specifically Convolutional Neural Networks (CNNs). It aims to enhance diagnostic accuracy and efficiency by employing advanced feature extraction methods, achieving a classification accuracy of 95.22% for conditions like asthma and pneumonia. The project emphasizes the integration of technology in clinical practice to improve early detection and management of respiratory

Author

Prasanthi Mallipeddi

Language

EN