Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Shih-Yen Hsu"'
Autor:
Cao Thang Luong, Ali Farhan, Ross D. Vasquez, Marri Jmelou M. Roldan, Yih-Kai Lin, Shih-Yen Hsu, Ming-Der Lin, Chung-Der Hsiao, Chih-Hsin Hung
Publikováno v:
Inventions, Vol 8, Iss 6, p 153 (2023)
Accurate and rapid taxonomy identification is the initial step in spider image recognition. More than 50,000 spider species are estimated to exist worldwide; however, their identification is still challenging due to the morphological similarity in th
Externí odkaz:
https://doaj.org/article/f516a236e928493c989a1741210900a1
Classification of Color Fundus Photographs Using Fusion Extracted Features and Customized CNN Models
Autor:
Jing-Zhe Wang, Nan-Han Lu, Wei-Chang Du, Kuo-Ying Liu, Shih-Yen Hsu, Chi-Yuan Wang, Yun-Ju Chen, Li-Ching Chang, Wen-Hung Twan, Tai-Been Chen, Yung-Hui Huang
Publikováno v:
Healthcare, Vol 11, Iss 15, p 2228 (2023)
This study focuses on overcoming challenges in classifying eye diseases using color fundus photographs by leveraging deep learning techniques, aiming to enhance early detection and diagnosis accuracy. We utilized a dataset of 6392 color fundus photog
Externí odkaz:
https://doaj.org/article/768472179dbb4d828dc9f223cd181998
Autor:
Shih-Yen Hsu, Chi-Yuan Wang, Yi-Kai Kao, Kuo-Ying Liu, Ming-Chia Lin, Li-Ren Yeh, Yi-Ming Wang, Chih-I Chen, Feng-Chen Kao
Publikováno v:
Healthcare, Vol 10, Iss 12, p 2382 (2022)
According to the Health Promotion Administration in the Ministry of Health and Welfare statistics in Taiwan, over ten thousand women have breast cancer every year. Mammography is widely used to detect breast cancer. However, it is limited by the oper
Externí odkaz:
https://doaj.org/article/6ad85d26f4ab4bf2aed7063c55ffe1d6
Publikováno v:
Journal of Signal Processing. 26:159-169
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::252d16613455e0c8cbb05c44b2032209
https://doi.org/10.2299/jsp.26.159
https://doi.org/10.2299/jsp.26.159
Autor:
Chih-I Chen, Nan-Han Lu, Yung-Hui Huang, Kuo-Ying Liu, Shih-Yen Hsu, Akari Matsushima, Yi-Ming Wang, Tai-Been Chen
Publikováno v:
Journal of X-Ray Science and Technology. 30:953-966
BACKGROUND: Dividing liver organs or lesions depicting on computed tomography (CT) images could be applied to help tumor staging and treatment. However, most existing image segmentation technologies use manual or semi-automatic analysis, making the a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::baadf8b95b73bb4f70e151e627f40858
https://doi.org/10.3233/xst-221194
https://doi.org/10.3233/xst-221194
Autor:
Li-Ren Yeh, Wei-Chin Chen, Hua-Yan Chan, Nan-Han Lu, Chi-Yuan Wang, Wen-Hung Twan, Wei-Chang Du, Yung-Hui Huang, Shih-Yen Hsu, Tai-Been Chen
Publikováno v:
Biosensors, Vol 11, Iss 6, p 188 (2021)
Anesthesia assessment is most important during surgery. Anesthesiologists use electrocardiogram (ECG) signals to assess the patient’s condition and give appropriate medications. However, it is not easy to interpret the ECG signals. Even physicians
Externí odkaz:
https://doaj.org/article/dd0d3abc483a41f0bbc294722658362a
Publikováno v:
Sensors, Vol 21, Iss 9, p 3212 (2021)
Postural control decreases with aging. Thus, an efficient and accurate method of detecting postural control is needed. We enrolled 35 elderly adults (aged 82.06 ± 8.74 years) and 20 healthy young adults (aged 21.60 ± 0.60 years) who performed stand
Externí odkaz:
https://doaj.org/article/50ecb8fa02b3490e8b6caf06d293a4a8
Autor:
Shih-Yen Hsu, Li-Ren Yeh, Tai-Been Chen, Wei-Chang Du, Yung-Hui Huang, Wen-Hung Twan, Ming-Chia Lin, Yun-Hsuan Hsu, Yi-Chen Wu, Huei-Yung Chen
Publikováno v:
Molecules, Vol 25, Iss 20, p 4792 (2020)
Single photon emission computed tomography (SPECT) has been employed to detect Parkinson’s disease (PD). However, analysis of the SPECT PD images was mostly based on the region of interest (ROI) approach. Due to limited size of the ROI, especially
Externí odkaz:
https://doaj.org/article/ab2bbe1d637f4c6a95f4952f8c50ad66
Autor:
Shih-Yen Hsu, Hsin-Chieh Lin, Tai-Been Chen, Wei-Chang Du, Yun-Hsuan Hsu, Yi-Chen Wu, Po-Wei Tu, Yung-Hui Huang, Huei-Yung Chen
Publikováno v:
Sensors, Vol 19, Iss 7, p 1740 (2019)
The neuroimaging techniques such as dopaminergic imaging using Single Photon Emission Computed Tomography (SPECT) with 99mTc-TRODAT-1 have been employed to detect the stages of Parkinson’s disease (PD). In this retrospective study, a total of 202 9
Externí odkaz:
https://doaj.org/article/2fd356ce40cc4b14bc6cd484862ba244
Publikováno v:
Sensors, Vol 19, Iss 4, p 825 (2019)
With the increase of extreme weather events, the frequency and severity of urban flood events in the world are increasing drastically. Therefore, this study develops ARMT (automatic combined ground weather radar and CCTV (Closed Circuit Television Sy
Externí odkaz:
https://doaj.org/article/0a533bb0472a41ebb5970cc4262ac4f2