Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Hon Ho, Yu"'
Autor:
Qingping Lan, Zhitao Ren, Yan Chen, Guozhen Cui, I. Cheong Choi, Carolina Oi Lam Ung, Hon Ho Yu, Simon Ming-Yuen Lee
Publikováno v:
Chinese Medicine, Vol 16, Iss 1, Pp 1-12 (2021)
Abstract Background Non-alcoholic steatohepatitis (NASH) is an advanced form of non-alcoholic fatty liver disease (NAFLD) for which there is yet any standard pharmacotherapy. Traditional Chinese medicine formula such as Qushihuayu (QSHY) composing of
Externí odkaz:
https://doaj.org/article/8c28a3105b294b3fbfde88b6045722f7
Autor:
Pak Kin, Wong, In Neng, Chan, Hao-Ming, Yan, Shan, Gao, Chi Hong, Wong, Tao, Yan, Liang, Yao, Ying, Hu, Zhong-Ren, Wang, Hon Ho, Yu
Publikováno v:
World Journal of Gastroenterology. 28:6363-6379
Gastrointestinal (GI) cancers are the major cause of cancer-related mortality globally. Medical imaging is an important auxiliary means for the diagnosis, assessment and prognostic prediction of GI cancers. Radiomics is an emerging and effective tech
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30b4b891e3f739fad89bb8517e2f13fb
https://doi.org/10.3748/wjg.v28.i45.6363
https://doi.org/10.3748/wjg.v28.i45.6363
Publikováno v:
Sensors, Vol 22, Iss 4, p 1492 (2022)
It is challenging for endoscopists to accurately detect esophageal lesions during gastrointestinal endoscopic screening due to visual similarities among different lesions in terms of shape, size, and texture among patients. Additionally, endoscopists
Externí odkaz:
https://doaj.org/article/b80743ffb125400189a12c7d8d527906
Publikováno v:
Sensors, Vol 22, Iss 1, p 283 (2021)
The automatic analysis of endoscopic images to assist endoscopists in accurately identifying the types and locations of esophageal lesions remains a challenge. In this paper, we propose a novel multi-task deep learning model for automatic diagnosis,
Externí odkaz:
https://doaj.org/article/78e06d9ca33d4d63ae801bc79f18417b
Autor:
Suigu Tang, Xiaoyuan Yu, Chak Fong Cheang, Yanyan Liang, Penghui Zhao, Hon Ho Yu, I Cheong Choi
Publikováno v:
Computers in Biology and Medicine. 157:106723
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f01d51d34aea4c39a57430a150847b50
https://doi.org/10.1016/j.compbiomed.2023.106723
https://doi.org/10.1016/j.compbiomed.2023.106723
Publikováno v:
Computer Methods and Programs in Biomedicine. 231:107399
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7e185e687a7e3af75aef3d623a1e634
https://doi.org/10.1016/j.cmpb.2023.107399
https://doi.org/10.1016/j.cmpb.2023.107399
Autor:
Shi-Lun Cai, Bing Li, Jichun Li, Pin-Xiang Lu, Yun-Shi Zhong, Ping-Hong Zhou, Xiao-Shuang Feng, Ayimukedisi Yalikong, Weimin Tan, Hon-Ho Yu, Li-Qing Yao, Bo Yan, Zhen Feng
Publikováno v:
World Journal of Gastroenterology
Background Non-magnifying endoscopy with narrow-band imaging (NM-NBI) has been frequently used in routine screening of esophagus squamous cell carcinoma (ESCC). The performance of NBI for screening of early ESCC is, however, significantly affected by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3eacc36461a9ddce312ebc26c39e841b
https://doi.org/10.3748/wjg.v27.i3.281
https://doi.org/10.3748/wjg.v27.i3.281
Publikováno v:
Sensors; Volume 22; Issue 4; Pages: 1492
It is challenging for endoscopists to accurately detect esophageal lesions during gastrointestinal endoscopic screening due to visual similarities among different lesions in terms of shape, size, and texture among patients. Additionally, endoscopists
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce6e6528aac1908d440135781bc05442
https://pubmed.ncbi.nlm.nih.gov/35214396
https://pubmed.ncbi.nlm.nih.gov/35214396
Publikováno v:
Knowledge-Based Systems. 249:108960
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6be99775bfddd8b5deb30ae2e8f9f28b
https://doi.org/10.1016/j.knosys.2022.108960
https://doi.org/10.1016/j.knosys.2022.108960
Publikováno v:
Biomedical Signal Processing and Control. 75:103578
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c51ab0f11df89266cce3ef4a0bef8660
https://doi.org/10.1016/j.bspc.2022.103578
https://doi.org/10.1016/j.bspc.2022.103578