Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Chin-Dar Tseng"'
Autor:
Tsair-Fwu Lee, Chu-Ho Chang, Chih-Hsuan Chi, Yen-Hsien Liu, Jen-Chung Shao, Yang-Wei Hsieh, Pei-Ying Yang, Chin-Dar Tseng, Chien-Liang Chiu, Yu-Chang Hu, Yu-Wei Lin, Pei-Ju Chao, Shen-Hao Lee, Shyh-An Yeh
Publikováno v:
BMC Cancer, Vol 24, Iss 1, Pp 1-17 (2024)
Abstract Purpose This study explores integrating clinical features with radiomic and dosiomic characteristics into AI models to enhance the prediction accuracy of radiation dermatitis (RD) in breast cancer patients undergoing volumetric modulated arc
Externí odkaz:
https://doaj.org/article/deb3328d14b2461e9a4f2654d24d43ad
Autor:
Tsair-Fwu Lee, Chien-Liang Chiu, Yen-Hsien Liu, Chu-Ho Chang, Jen-Chung Shao, Shih-Sian Guo, Yi-Lun Liao, Chia-Hui Chen, Chin-Dar Tseng, Pei-Ju Chao, Shen-Hao Lee
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract The study aims to develop an abnormal body temperature probability (ABTP) model for dairy cattle, utilizing environmental and physiological data. This model is designed to enhance the management of heat stress impacts, providing an early war
Externí odkaz:
https://doaj.org/article/69915a2db126418aa2aa8d43b7764a75
Autor:
Tsair-Fwu Lee, Yen-Hsien Liu, Chu-Ho Chang, Chien-Liang Chiu, Chih-Hsueh Lin, Jen-Chung Shao, Yu-Cheng Yen, Guang-Zhi Lin, Jack Yang, Chin-Dar Tseng, Fu-Min Fang, Pei-Ju Chao, Shen-Hao Lee
Publikováno v:
Radiation Oncology, Vol 19, Iss 1, Pp 1-11 (2024)
Abstract Purpose This study aims to develop an ensemble machine learning-based (EML-based) risk prediction model for radiation dermatitis (RD) in patients with head and neck cancer undergoing proton radiotherapy, with the goal of achieving superior p
Externí odkaz:
https://doaj.org/article/df84e7e0d00c41729986d40fc45a232f
Autor:
Tsair-Fwu Lee, Yang-Wei Hsieh, Pei-Ying Yang, Chi-Hung Tseng, Shen-Hao Lee, Jack Yang, Liyun Chang, Jia-Ming Wu, Chin-Dar Tseng, Pei-Ju Chao
Publikováno v:
Radiation Oncology, Vol 19, Iss 1, Pp 1-21 (2024)
Abstract Purpose The study aims to enhance the efficiency and accuracy of literature reviews on normal tissue complication probability (NTCP) in head and neck cancer patients using radiation therapy. It employs meta-analysis (MA) and natural language
Externí odkaz:
https://doaj.org/article/89dec3a1cb2d4b93b408dfe57e208d93
Autor:
Tsair-Fwu Lee, Shen-Hao Lee, Chin-Dar Tseng, Chih-Hsueh Lin, Chi-Min Chiu, Guang-Zhi Lin, Jack Yang, Liyun Chang, Yu-Hao Chiu, Chun-Ting Su, Shyh-An Yeh
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract Machine learning algorithms were used to analyze the odds and predictors of complications of thyroid damage after radiation therapy in patients with head and neck cancer. This study used decision tree (DT), random forest (RF), and support ve
Externí odkaz:
https://doaj.org/article/a9765c4775934980af7571c79016c6e8
Autor:
Chih-Hsueh Lin, Ping-I Hsu, Chin-Dar Tseng, Pei-Ju Chao, I-Ting Wu, Supratip Ghose, Chih-An Shih, Shen-Hao Lee, Jia-Hong Ren, Chang-Bih Shie, Tsair-Fwu Lee
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract Helicobacter pylori (H. pylori) infection is the principal cause of chronic gastritis, gastric ulcers, duodenal ulcers, and gastric cancer. In clinical practice, diagnosis of H. pylori infection by a gastroenterologists’ impression of endo
Externí odkaz:
https://doaj.org/article/babe4c2399ba482daece5d1c04cb37ae
Autor:
Pei-Ju Chao, Liyun Chang, Chen-Lin Kang, Chin-Hsueh Lin, Chin-Shiuh Shieh, Jia-Ming Wu, Chin-Dar Tseng, I-Hsing Tsai, Hsuan-Chih Hsu, Yu-Jie Huang, Tsair-Fwu Lee
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Using deep learning models to analyze patients with intracranial tumors, to study the image segmentation and standard results by clinical depiction complications of cerebral edema after receiving radiotherapy. In this study, patients with in
Externí odkaz:
https://doaj.org/article/a4e19cccea514aa48658933fc43eab71
Autor:
Chia-Chi Yen, Wei-Chun Lin, Tzu-Hao Wang, Guan-Fan Chen, Da-Ying Chou, Dian-Min Lin, Shu-Yuan Lin, Min-Ho Chan, Jia-Ming Wu, Chin-Dar Tseng, Yu-Jie Huang, Tsair-Fwu Lee
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract Calcaneal quantitative ultrasonography (QUS) is a useful prescreening tool for osteoporosis, while the dual-energy X-ray absorptiometry (DXA) is the mainstream in clinical practice. We evaluated the correlation between QUS and DXA in a Taiwa
Externí odkaz:
https://doaj.org/article/bcc5448f5ef04b8f9251c51254fd0a5f
Autor:
Shih-Sian Guo, Kuo-Hua Lee, Liyun Chang, Chin-Dar Tseng, Sin-Jhe Sie, Guang-Zhi Lin, Jih-Yi Chen, Yi-Hsin Yeh, Yu-Jie Huang, Tsair-Fwu Lee
Publikováno v:
Applied Sciences, Vol 12, Iss 8, p 4036 (2022)
This study developed an automated temperature measurement and monitoring platform for dairy cattle. The platform used the YOLO V3-tiny (you only look once, YOLO) deep learning algorithm to identify and classify dairy cattle images. The system include
Externí odkaz:
https://doaj.org/article/8a4e0730b2c3450fad92cdf8bbfc7d1b
Autor:
Chao-Hong Liu, Chin-Shiuh Shieh, Tai-Lin Huang, Chih-Hsueh Lin, Pei-Ju Chao, Yu-Jie Huang, Hsiao-Fei Lee, Shyh-An Yeh, Chin-Dar Tseng, Jia-Ming Wu, Stephen Wan Leung, Tsair-Fwu Lee
Publikováno v:
Applied Sciences, Vol 10, Iss 6, p 2049 (2020)
The neodymium-doped yttrium aluminum garnet (Nd-YAG) laser is used for removal of pigmented skin patches and rejuvenation of skin. However, complications such as hyperpigmentation, hypopigmentation, and petechiae can occur after frequent treatments.
Externí odkaz:
https://doaj.org/article/6a1c337a6fe7454e996a3bbbfbcbd43c