Topic: "lung-sound-classification"
jdcneto/Lung-Sound-Classification
This project is about classifying respiratory sounds using Attention and Vision Transformer on ICBHI dataset..
Language: Jupyter Notebook - Size: 302 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 16 - Forks: 0

GCY/Digital-Stethoscope-for-Heart-and-Lung-sounds
Language: C - Size: 8.41 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 14 - Forks: 10

rsarka34/RDLINet
RDLINet: A Novel Lightweight Inception Network for Respiratory Disease Classification Using Lung Sounds (IEEE TIM-2024)
Language: Jupyter Notebook - Size: 94.1 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 6 - Forks: 1

adnanhf/Lung-Sounds-Classification-SAE-SVM
Stacked Autoencoder, Support Vector Machine, Wavelet Transform
Language: Python - Size: 20.5 KB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 5 - Forks: 2

rsarka34/VGAResNet
VGAResNet: A Unified Visibility Graph Adjacency Matrix-Based Residual Network for Chronic Obstructive Pulmonary Disease Detection Using Lung Sounds
Language: MATLAB - Size: 24.1 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 4 - Forks: 1

rsarka34/AsTFSONN
AsTFSONN: A Unified Framework Based on Time-Frequency Domain Self-Operational Neural Network for Asthmatic Lung Sound Classification
Language: Jupyter Notebook - Size: 199 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

rsarka34/MHSONN
A Novel Multi-Head Self-Organized Operational Neural Network Architecture for Chronic Obstructive Pulmonary Disease Detection Using Lung Sounds (IEEE TASLP-2024)
Language: Jupyter Notebook - Size: 119 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

michiel-j/ESANN-2025_Adventitious-Lung-Sound-Event-Detection-ICBHI Fork of raymin0223/patch-mix_contrastive_learning
Code accompanying ESANN 2025 submission "Exploring Model Architectures for Real-Time Lung Sound Event Detection". Dataset used was ICBHI 2017.
Language: Python - Size: 55.7 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
