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Beschreibung
Deep COPD, an innovative deep learning approach for accurate detection of Chronic Obstructive Pulmonary Disease (COPD) using respiratory sound analysis. The proposed approach utilizes a Convolutional Neural Network (CNN) model trained on a respiratory sound database containing wheezes, crackles, and both crackles and wheezes. To overcome the challenge of a small dataset, innovative techniques such as device-specific fine-tuning, concatenation-based augmentation, blank region clipping, and smart padding are employed. These techniques enable efficient utilization of the dataset, resulting in an impressive accuracy of 90% to 95%.
Details
| Verlag | LAP LAMBERT Academic Publishing |
| Ersterscheinung | 19. Februar 2024 |
| Maße | 22 cm x 15 cm x 0.4 cm |
| Gewicht | 96 Gramm |
| Format | Softcover |
| ISBN-13 | 9786207465279 |
| Seiten | 52 |
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