Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Yung Hui Huang"'
Autor:
Te-Li Huang, Nan-Han Lu, Yung-Hui Huang, Wen-Hung Twan, Li-Ren Yeh, Kuo-Ying Liu, Tai-Been Chen
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract Early detection of prostate cancer (PCa) and benign prostatic hyperplasia (BPH) is crucial for maintaining the health and well-being of aging male populations. This study aims to evaluate the performance of transfer learning with convolution
Externí odkaz:
https://doaj.org/article/a7bfc4cd71174297877422bc15366d9f
Autor:
Shih-Ying Yang, Shih-Yen Hsu, Yi-Kai Su, Nan-Han Lu, Kuo-Ying Liu, Tai-Been Chen, Kon-Ning Chiu, Yung-Hui Huang, Li-Ren Yeh
Publikováno v:
Diagnostics, Vol 14, Iss 21, p 2456 (2024)
Background/Objectives: Spinal conditions, such as fractures and herniated intervertebral discs (HIVDs), are often challenging to diagnose due to overlapping clinical symptoms and the difficulty in assessing their functional impact. Accurate different
Externí odkaz:
https://doaj.org/article/9d4130163d7a4ef387dc92b77ec632f6
Publikováno v:
IEEE Access, Vol 11, Pp 103014-103032 (2023)
This study proposes a web-based real-time remote-controlled virtual puppetry (avatar) performance platform called AvatarTalk to combine traditional Taiwanese puppetry, the Internet of Things (IoT), and 3D avatar models. AvatarTalk enables puppeteers
Externí odkaz:
https://doaj.org/article/e226da27c65b4921b8d9b27b7792fc89
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:
Chun-Yi Chiu, Yung-Hui Huang, Wei-Chang Du, Chi-Yuan Wang, Huei-Yong Chen, Yun-Shiuan Shiu, Nan-Han Lu, Tai-Been Chen
Publikováno v:
Sensors, Vol 21, Iss 21, p 7228 (2021)
Positron emission tomography (PET) can provide functional images and identify abnormal metabolic regions of the whole-body to effectively detect tumor presence and distribution. The filtered back-projection (FBP) algorithm is one of the most common i
Externí odkaz:
https://doaj.org/article/bd9b7413c643423980747c3687ecf631
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
Autor:
Kuo-Hsuan Lin, Nan-Han Lu, Takahide Okamoto, Yung-Hui Huang, Kuo-Ying Liu, Akari Matsushima, Che-Cheng Chang, Tai-Been Chen
Publikováno v:
Healthcare; Volume 11; Issue 10; Pages: 1367
Convolutional neural networks (CNNs) have shown promise in accurately diagnosing coronavirus disease 2019 (COVID-19) and bacterial pneumonia using chest X-ray images. However, determining the optimal feature extraction approach is challenging. This s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91b49025b71c1d28f71fff7b9b1a4fba
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-Ming Hsu, Chao-Hsiung Hung, Yi-Jen Liao, Hsiao-Mei Fu, Jo-Ting Tsai, Yung-Hui Huang, David Y C Huang
Publikováno v:
PLoS ONE, Vol 12, Iss 1, p e0169252 (2017)
CyberKnife is one of multiple modalities for stereotactic radiosurgery (SRS). Due to the nature of CyberKnife and the characteristics of SRS, dose evaluation of the CyberKnife procedure is critical. A radiophotoluminescent glass dosimeter was used to
Externí odkaz:
https://doaj.org/article/cb272aa1ecdf46f091e7376dfe711987
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