rsarka34/RDLINet
RDLINet: A Novel Lightweight Inception Network for Respiratory Disease Classification Using Lung Sounds (IEEE TIM-2024)
This project helps medical professionals identify various respiratory diseases by analyzing lung sound recordings. You input audio recordings of a patient's lung sounds, and it outputs a classification indicating specific respiratory conditions like asthma or pneumonia. This is designed for doctors, nurses, and other healthcare practitioners who need a quick and automated way to screen for respiratory illnesses.
No commits in the last 6 months.
Use this if you are a healthcare professional seeking an automated system to classify a wide range of respiratory diseases directly from lung sound recordings.
Not ideal if you need a diagnostic tool that provides detailed clinical explanations or integrates with complex electronic health record systems.
Stars
11
Forks
1
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 24, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/rsarka34/RDLINet"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
cognizant-ai-labs/covid-xprize
Open-source repository containing examples and documentation for the Cognizant XPRIZE Pandemic...
LukasHaas/cs329s-covid-prediction
This repository is a work-in-progress ML production pipeline for detecting Covid-19 from cough...
WadhwaniAI/cough-against-covid
Code for the Cough Against COVID-19 (CAC) Project by Wadhwani AI
LadyJo02/PulmoScope
AI-assisted lung sound analysis tool using TCN and TCN-SNN deep learning models.
victor369basu/Respiratory-diseases-recognition-through-respiratory-sound-with-the-help-of-deep-neural-network
Prediction of respiratory diseases such as COPD(Chronic obstructive pulmonary disease),...