This project is about classifying respiratory sounds using Attention and Vision Transformer on ICBHI dataset..
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May 12, 2024 - Jupyter Notebook
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icbhi17
Here are 8 public repositories matching this topic...
RDLINet: A Novel Lightweight Inception Network for Respiratory Disease Classification Using Lung Sounds (IEEE TIM-2024)
deep-learning lightweight-framework inception-architecture copd lightweight-cnn respiratory-sounds respiratory-illnesses lung-sound-classification lung-sound icbhi17 icbhi-dataset
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Mar 24, 2025 - Jupyter Notebook
AsTFSONN: A Unified Framework Based on Time-Frequency Domain Self-Operational Neural Network for Asthmatic Lung Sound Classification (IEEE MeMeA-2024)
asthma respiratory-sounds lung-sound-classification lung-sound asthma-patients asthma-detection icbhi17 icbhi-dataset memea2023 operational-neural-network fastonn self-onn cwlsd-dataset
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Sep 25, 2024 - Jupyter Notebook
Code accompanying ESANN 2025 submission "Exploring Model Architectures for Real-Time Lung Sound Event Detection". Dataset used was ICBHI 2017.
deep-learning cnn ast convolutional-neural-networks cnn-model respiratory-sounds lung-sound-classification icbhi17 audio-spectrogram-transformer icbhi-dataset
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Mar 11, 2025 - Python
Pulmo-TS2ONN: A Novel Triple Scale Self Operational Neural Network for Pulmonary Disorder Detection Using Respiratory Sounds (IEEE TIM-2024)
asthma pneumonia-detection copd respiratory-sounds lung-sound-classification lung-sound icbhi17 icbhi-dataset pulmonary-disease
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Oct 15, 2024 - Jupyter Notebook
Official Implementation of Non-Contrastive Self-Supervised Learning with UNO Process for Respiratory Sound Analysis
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Sep 1, 2022 - Python
A Novel Multi-Head Self-Organized Operational Neural Network Architecture for Chronic Obstructive Pulmonary Disease Detection Using Lung Sounds (IEEE TASLP-2024)
copd respiratory-sounds lung-sound-classification lung-sound icbhi17 icbhi-dataset wheeze fastonn copd-classification cwlsd-dataset
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Apr 21, 2025 - Jupyter Notebook
Automated respiratory sound classification using ML and deep learning on the ICBHI 2017 dataset. Patient-aware evaluation with SVM, CNN, CRNN, and ResNet18 across cycle-level (4-class + binary) and patient-level disease diagnosis.
python data-science machine-learning deep-learning signal-processing svm cnn pytorch xgboost rnn transfer-learning audio-classification crnn mel-spectrogram medical-ai cardiff-university respiratory-sounds healthcare-ai icbhi17 lung-disease-detection
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Apr 9, 2026 - Jupyter Notebook
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