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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Bibliografiska uppgifter

Huvudupphov:	Pumin Duangmanee, Khomdet Phapatanaburi, Wongsathon Pathonsuwan, Talit Jumphoo, Atcharawan Rattanasak, Khwanjit Orkweha, Patikorn Anchuen, Monthippa Uthansakul, Peerapong Uthansakul
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	IEEE 2025-01-01
Serie:	IEEE Access
Ämnen:	Multi kernel-CNN triplet loss pulmonary disease detection lung sound
Länkar:	https://ieeexplore.ieee.org/document/10930495/
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