Zobrazeno 1 - 10
of 123
pro vyhledávání: '"Te‐Chun Hsieh"'
Autor:
Yu-Ting Ting, Te-Chun Hsieh, Yuh-Feng Wang, Yu-Chieh Kuo, Yi-Jin Chen, Pak-Ki Chan, Chia-Hung Kao
Publikováno v:
Digital Health, Vol 10 (2024)
Objective This research explores the performance of ChatGPT, compared to human doctors, in bilingual, Mandarin Chinese and English, medical specialty exam in Nuclear Medicine in Taiwan. Methods The study employed generative pre-trained transformer (G
Externí odkaz:
https://doaj.org/article/c417bd9419124a68ad778a09883d9c0d
Autor:
Chen-Yuan Lin, Ming-Yu Lien, Chi-Ching Chen, Hsin-Yuan Fang, Yu-Sen Lin, Chien-Kuang Chen, Jian-Xun Chen, Ting-Yu Lu, Tzu-Min Huang, Te-Chun Hsieh, Shung-Shung Sun, Chia-Chin Li, Chun-Ru Chien
Publikováno v:
BMC Gastroenterology, Vol 22, Iss 1, Pp 1-13 (2022)
Abstract Background The role of consolidative chemotherapy (CCT) for locally advanced esophageal squamous cell carcinoma (LA-ESCC) patients treated with definitive concurrent chemoradiotherapy (dCCRT) is unclear. We aimed to compare the overall survi
Externí odkaz:
https://doaj.org/article/4a1544a2a0c54607ad0e12bd90d7cbff
Autor:
Hsin‐Yuan Fang, Yu‐Sen Lin, Chien‐Kuang Chen, Jian‐Xun Chen, Ting‐Yu Lu, Tzu‐Min Huang, Te‐Chun Hsieh, Yu‐Cheng Kuo, Chen‐Yuan Lin, Ming‐Yu Lien, Chi‐Ching Chen, Chia‐Chin Li, Chun‐Ru Chien
Publikováno v:
Thoracic Cancer, Vol 13, Iss 13, Pp 1986-1993 (2022)
Abstract Background The role of adjuvant concurrent chemoradiotherapy (ACCRT) is unclear for patients with esophageal squamous cell carcinoma (ESCC) who receive esophagectomy with clean margins. We compared the survival of the ACCRT versus observatio
Externí odkaz:
https://doaj.org/article/e79a82a3ff3347f59cb3cf6471698649
Publikováno v:
Diagnostics, Vol 13, Iss 19, p 3042 (2023)
The use of deep learning methods for the automatic detection and quantification of bone metastases in bone scan images holds significant clinical value. A fast and accurate automated system for segmenting bone metastatic lesions can assist clinical p
Externí odkaz:
https://doaj.org/article/1b122e97c0124fa5ba7f537173128226
Autor:
Chiung-Wei Liao, Te-Chun Hsieh, Yung-Chi Lai, Yu-Ju Hsu, Zong-Kai Hsu, Pak-Ki Chan, Chia-Hung Kao
Publikováno v:
Diagnostics, Vol 13, Iss 4, p 685 (2023)
Background: When cancer has metastasized to bone, doctors must identify the site of the metastases for treatment. In radiation therapy, damage to healthy areas or missing areas requiring treatment should be avoided. Therefore, it is necessary to loca
Externí odkaz:
https://doaj.org/article/cb68f5c1f1da4c5f8314bbdcf570de83
Autor:
Chen-Yuan Lin, Jeffrey S. Chang, Shih-Ming Huang, Chung-Jye Hung, Chien-Ling Hung, Chwen-Tzuei Chang, Horng-Ren Yang, Te-Chun Hsieh, Yu-Hui Huang, Hui-Jen Tsai
Publikováno v:
Journal of the Formosan Medical Association, Vol 120, Iss 1, Pp 189-195 (2021)
Background: Sorafenib has been shown to prolong the progression free survival (PFS) of advanced radioiodine (RAI) refractory differentiated thyroid cancer (DTC) and has been approved by the FDA as the result of the phase III DECISION trial. Sorafenib
Externí odkaz:
https://doaj.org/article/dfcd683963234879ac03c2831675f35a
Autor:
Chun-Yi Wu, Yang-Yi Chen, Jia-Jia Lin, Jui-Ping Li, Jen-Kun Chen, Te-Chun Hsieh, Chia-Hung Kao
Publikováno v:
BMC Medical Imaging, Vol 19, Iss 1, Pp 1-9 (2019)
Abstract Purpose The inflammation reaction in the brain may stimulate damage repair or possibly lead to secondary brain injury. It is often associated with activated microglia, which would overexpress 18-kDa translocator protein (TSPO). In this study
Externí odkaz:
https://doaj.org/article/b335096a3cd9408ba9ec57db3e365337
Publikováno v:
Diagnostics, Vol 11, Iss 3, p 518 (2021)
This study aimed to explore efficient ways to diagnose bone metastasis early using bone scintigraphy images through negative mining, pre-training, the convolutional neural network, and deep learning. We studied 205 prostate cancer patients and 371 br
Externí odkaz:
https://doaj.org/article/65ead0ecc00149139a49b59d342c7a97
Autor:
Kuo-Chen Wu, Shang-Wen Chen, Te-Chun Hsieh, Kuo-Yang Yen, Chao-Jen Chang, Yu-Chieh Kuo, Ruey-Feng Chang, Kao Chia-Hung
Publikováno v:
Nuclear Medicine Communications; Mar2024, Vol. 45 Issue 3, p196-202, 7p
Publikováno v:
Clinical Nuclear Medicine.