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A dual-purpose deep learning model for auscultated lung and tracheal sound analysis based on mixed set training.

, , , , , , , , , , , , , , and . Biomed. Signal Process. Control., 86 (Part B): 105222 (September 2023)

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Breathing Sound Segmentation and Detection Using Transfer Learning Techniques on an Attention-Based Encoder-Decoder Architecture., , , , , , and . EMBC, page 754-759. IEEE, (2020)Benchmarking of eight recurrent neural network variants for breath phase and adventitious sound detection on a self-developed open-access lung sound database-HF_Lung_V1., , , , , , , , , and 8 other author(s). CoRR, (2021)Multi-path Convolutional Neural Networks Efficiently Improve Feature Extraction in Continuous Adventitious Lung Sound Detection., , , , , and . CoRR, (2021)An Update of a Progressively Expanded Database for Automated Lung Sound Analysis., , , , , , , and . CoRR, (2021)A dual-purpose deep learning model for auscultated lung and tracheal sound analysis based on mixed set training., , , , , , , , , and 5 other author(s). Biomed. Signal Process. Control., 86 (Part B): 105222 (September 2023)Improved Breath Phase and Continuous Adventitious Sound Detection in Lung and Tracheal Sound Using Mixed Set Training and Domain Adaptation., , , , , , , , , and 5 other author(s). CoRR, (2021)Development of a Respiratory Sound Labeling Software for Training a Deep Learning-Based Respiratory Sound Analysis Model., , , , , , , , and . CoRR, (2021)