Triplet Multi-Kernel CNN for Detection of Pulmonary Diseases From Lung Sound Signals

Triplet Multi-Kernel CNN for Detection of Pulmonary Diseases From Lung Sound Signals

Recent studies have demonstrated the notable success of Convolutional Neural Networks (CNNs) to detect respiratory diseases from Lung Sound (LS) signals. However, traditional Single-Kernel CNN (SK-CNN) methods frequently face limitations when depending solely on a singular kernel type to extract ess...

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Bibliographic Details
Main Authors: Pumin Duangmanee, Khomdet Phapatanaburi, Wongsathon Pathonsuwan, Talit Jumphoo, Atcharawan Rattanasak, Khwanjit Orkweha, Patikorn Anchuen, Monthippa Uthansakul, Peerapong Uthansakul
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Multi kernel-CNN
triplet loss
pulmonary disease detection
lung sound
Online Access:https://ieeexplore.ieee.org/document/10930495/
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