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Multi-path Convolutional Neural Networks Efficiently Improve Feature
  Extraction in Continuous Adventitious Lung Sound Detection

Multi-path Convolutional Neural Networks Efficiently Improve Feature Extraction in Continuous Adventitious Lung Sound Detection

9 July 2021
Fu-Shun Hsu
Shang-Ran Huang
Chien-Wen Huang
Chun-Chieh Chen
Yuan-Ren Cheng
F. Lai
ArXivPDFHTML

Papers citing "Multi-path Convolutional Neural Networks Efficiently Improve Feature Extraction in Continuous Adventitious Lung Sound Detection"

2 / 2 papers shown
Title
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
43
53
0
05 Feb 2021
Deep Learning Framework Applied for Predicting Anomaly of Respiratory
  Sounds
Deep Learning Framework Applied for Predicting Anomaly of Respiratory Sounds
Dat Ngo
L. D. Pham
A. Nguyen
Ben Phan
Khoa Tran
Truong Thao Nguyen
34
22
0
26 Dec 2020
1