Jan 21, 2022 · This paper proposes a novel framework for lung sound event detection, segmenting continuous lung sound recordings into discrete events and performing ...
Jun 30, 2021 · This paper proposes a novel framework for lung sound event detection, segmenting continuous lung sound recordings into discrete events and performing ...
Abstract—Objective: This paper proposes a novel framework for lung sound event detection, segmenting continuous lung sound recordings into discrete events.
Oct 22, 2024 · This paper proposes a novel framework for lung sound event detection, segmenting continuous lung sound recordings into discrete events and ...
Jun 30, 2021 · The proposed method provides a cost-effective and efficient alternative to exhaustive manual segmentation, and provides more accurate ...
Sep 22, 2022 · Robust and Interpretable Temporal Convolution Network for Event Detection in Lung Sound Recordings ... Fernando, Tharindu, Sridharan, Sridha, ...
Robust and Interpretable Temporal Convolution Network for Event Detection in Lung Sound Recordings ... We exceed the state-of-the-art results in all evaluations.
Robust and interpretable temporal convolution network for event detection in lung sound recordings. IEEE J Biomed Health Inform. 2022 Jul;26(7):2898–908 ...
Robust and interpretable temporal convolution network for event detection in lung sound recordings. T Fernando, S Sridharan, S Denman, H Ghaemmaghami, C ...
Sep 27, 2024 · This paper details the features of LungNeXt, a novel classification model specifically designed for lung sound analysis.