Deep Learning Framework Applied for Predicting Anomaly of Respiratory Sounds

26 December 2020

Papers citing "Deep Learning Framework Applied for Predicting Anomaly of Respiratory Sounds"

5 / 5 papers shown

Title
An Inception-Residual-Based Architecture with Multi-Objective Loss for Detecting Respiratory Anomalies Dat Ngo L. D. Pham Huy P Phan Minh Tran D. Jarchi Ş. Kolozali 29 3 0 07 Mar 2023
Training one model to detect heart and lung sound events from single point auscultations Leander Melms Robert R. Ilesan Ulrich Köhler O. Hildebrandt R. Conradt ... Jürgen R. Schaefer Tobias Müller J. Obergassel Nadine Schlicker M. Hirsch 26 2 0 15 Jan 2023
Classify Respiratory Abnormality in Lung Sounds Using STFT and a Fine-Tuned ResNet18 Network Zizhao Chen Hongliang Wang Chia-Hui Yeh Xilin Liu 17 15 0 30 Aug 2022
Audio-Based Deep Learning Frameworks for Detecting COVID-19 Dat Ngo L. D. Pham Hoang Van Truong Ş. Kolozali D. Jarchi 43 4 0 10 Feb 2022
An Ensemble of Deep Learning Frameworks Applied For Predicting Respiratory Anomalies L. D. Pham Dat Ngo T. Hoang Alexander Schindler Ian Mcloughlin 21 5 0 09 Jan 2022