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Robust and Interpretable Temporal Convolution Network for Event
  Detection in Lung Sound Recordings

Robust and Interpretable Temporal Convolution Network for Event Detection in Lung Sound Recordings

30 June 2021
Tharindu Fernando
S. Sridharan
Simon Denman
H. Ghaemmaghami
Clinton Fookes
ArXivPDFHTML

Papers citing "Robust and Interpretable Temporal Convolution Network for Event Detection in Lung Sound Recordings"

3 / 3 papers shown
Title
Training one model to detect heart and lung sound events from single
  point auscultations
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
13
2
0
15 Jan 2023
Exploring traditional machine learning for identification of
  pathological auscultations
Exploring traditional machine learning for identification of pathological auscultations
Haroldas Razvadauskas
E. Vaičiukynas
Kazimieras Buškus
Lukas Drukteinis
Lukas Arlauskas
S. Sadauskas
Albinas Naudžiūnas
9
0
0
01 Sep 2022
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
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
Fu-Shun Hsu
Shang-Ran Huang
Chien-Wen Huang
Chao-Jung Huang
Yuan-Ren Cheng
...
Yi-Lin Wu
Tzu-Ling Tzeng
Ching-Ting Tseng
Yi-Tsun Chen
F. Lai
35
53
0
05 Feb 2021
1