no code implementations • 9 Jul 2021 • Fu-Shun Hsu, Shang-Ran Huang, Chang-Fu Su, Chien-Wen Huang, Yuan-Ren Cheng, Chun-Chieh Chen, Chun-Yu Wu, Chung-Wei Chen, Yen-Chun Lai, Tang-Wei Cheng, Nian-Jhen Lin, Wan-Ling Tsai, Ching-Shiang Lu, Chuan Chen, Feipei Lai
However, mixed set training or domain adaptation improved the performance for 1) inhalation and exhalation detection in lung sounds and 2) inhalation, exhalation, and CAS detection in tracheal sounds compared to positive controls (the models trained using lung sound alone and used in lung sound analysis and vice versa).
no code implementations • 9 Jul 2021 • Fu-Shun Hsu, Shang-Ran Huang, Chien-Wen Huang, Chun-Chieh Chen, Yuan-Ren Cheng, Feipei Lai
The F1 score for CAS event detection of the proposed models increased from 0. 445 to 0. 491-0. 530, which was deemed significant.
no code implementations • 8 Feb 2021 • Fu-Shun Hsu, Shang-Ran Huang, Chien-Wen Huang, Yuan-Ren Cheng, Chun-Chieh Chen, Jack Hsiao, Chung-Wei Chen, Feipei Lai
DAS detection was strongly influenced by the overlapping of DAS labels with inhalation and exhalation labels.
no code implementations • 5 Feb 2021 • Fu-Shun Hsu, Shang-Ran Huang, Chien-Wen Huang, Chao-Jung Huang, Yuan-Ren Cheng, Chun-Chieh Chen, Jack Hsiao, Chung-Wei Chen, Li-Chin Chen, Yen-Chun Lai, Bi-Fang Hsu, Nian-Jhen Lin, Wan-Lin Tsai, Yi-Lin Wu, Tzu-Ling Tseng, Ching-Ting Tseng, Yi-Tsun Chen, Feipei Lai
We also conducted a performance comparison between the LSTM-based and GRU-based models, between unidirectional and bidirectional models, and between models with and without a CNN.
no code implementations • 5 Jan 2021 • Fu-Shun Hsu, Chao-Jung Huang, Chen-Yi Kuo, Shang-Ran Huang, Yuan-Ren Cheng, Jia-Horng Wang, Yi-Lin Wu, Tzu-Ling Tzeng, Feipei Lai
The state-of-the-art artificial intelligence technologies based on deep learning show great potential in the development of automated respiratory sound analysis.
1 code implementation • 22 Jul 2020 • Siang-Ruei Wu, Hao-Yun Chang, Florence T Su, Heng-Chun Liao, Wanju Tseng, Chun-Chih Liao, Feipei Lai, Feng-Ming Hsu, Furen Xiao
Semantic segmentation of medical images with deep learning models is rapidly developed.