Asthmatic Lung Sound Classification
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AsthmaSCELNet: A Lightweight Supervised Contrastive Embedding Learning Framework For Asthma Classification Using Lung Sounds
2023-08-01 · Interspeech 2023 8
· Arka Roy, Udit Satija
Asthma is one of the most prevalent respiratory disorders, which can be identified by different modalities such as speech, wheezing of lung sounds (LSs), spirometric measures, etc. In this paper, we propose AsthmaSCELNet…
Asthmatic Lung Sound ClassificationAudio ClassificationClassificationDiagnostic+3AsTFSONN: A Unified Framework Based on Time-Frequency Domain Self-Operational Neural Network for Asthmatic Lung Sound Classification
2023-07-10 · 2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA) 2023 7
· Arka Roy, Udit Satija
Asthma is one of the most severe chronic respiratory diseases which can be diagnosed using several modalities, such as lung function test or spirometric measures, peak flow meter-based measures, sputum eosinophils, patho…
Asthmatic Lung Sound ClassificationAudio ClassificationDiagnosticLung Disease Classification+30/1 Deep Neural Networks via Block Coordinate Descent
2022-06-19
· HUI ZHANG, Shenglong Zhou, Geoffrey Ye Li, Naihua Xiu
The step function is one of the simplest and most natural activation functions for deep neural networks (DNNs). As it counts 1 for positive variables and 0 for others, its intrinsic characteristics (e.g., discontinuity a…
10-shot image generation16k2D Object Detection+92