Zobrazeno 1 - 10
of 235
pro vyhledávání: '"Wen-Hsien HO"'
Publikováno v:
AIMS Mathematics, Vol 8, Iss 11, Pp 27989-28009 (2023)
Synthesizing hyperspectral images (HSI) from an ordinary camera has been accomplished recently. However, such computation models require detailed properties of the target camera, which can only be measured in a professional lab. This prerequisite pre
Externí odkaz:
https://doaj.org/article/9c36bd0947394cbdafc292f74cd90334
Autor:
Wen-Hsien Ho, Tian-Hsiang Huang, Yenming J. Chen, Lang-Yin Zeng, Fen-Fen Liao, Yeong-Cheng Liou
Publikováno v:
BMC Bioinformatics, Vol 22, Iss S5, Pp 1-11 (2023)
Abstract Background Antibiotic resistance has become a global concern. Vancomycin is known as the last line of antibiotics, but its treatment index is narrow. Therefore, clinical dosing decisions must be made with the utmost care; such decisions are
Externí odkaz:
https://doaj.org/article/3f72744d888042fa8e5abb8dc6b62ddb
Publikováno v:
IEEE Access, Vol 11, Pp 90801-90810 (2023)
Long-term wiring on a newborn patient could be a disguise scene for parents. Unobtrusive and reliable monitoring without wiring can be a euphoric alternative for newborns and parents in obstetrics and gynecology (OB/GYN) incubation rooms. However, re
Externí odkaz:
https://doaj.org/article/0affedbecd884d2296c72f8163d74a36
Publikováno v:
BMC Bioinformatics, Vol 22, Iss S5, Pp 1-18 (2022)
Abstract Background Researchers have tried to identify and count different blood cells in microscopic smear images by using deep learning methods of artificial intelligence to solve the highly time-consuming problem. Results The three types of blood
Externí odkaz:
https://doaj.org/article/3c8a6406781a48a59ee3e5230246bf31
Publikováno v:
BMC Bioinformatics, Vol 22, Iss S5, Pp 1-21 (2022)
Abstract Background Researchers have attempted to apply deep learning methods of artificial intelligence for rapidly and accurately detecting acute lymphoblastic leukemia (ALL) in microscopic images. Results A Resnet101-9 ensemble model was developed
Externí odkaz:
https://doaj.org/article/6abc39c33fb049e18563bc26b48e4ed9
Publikováno v:
IEEE Access, Vol 10, Pp 51079-51092 (2022)
Electrocardiography (ECG) is generally deemed the golden standard for diagnosing cardiovascular diseases and photoplethysmography (PPG) is unobtrusive, low-cost, and convenient for continuous monitoring. However, PPG contains insufficient information
Externí odkaz:
https://doaj.org/article/5a3708b096004e59ac999934d01b2f97
Autor:
Wen-Hsien Ho, Tian-Hsiang Huang, Po-Yuan Yang, Jyh-Horng Chou, Hong-Siang Huang, Li-Chung Chi, Fu-I Chou, Jinn-Tsong Tsai
Publikováno v:
BMC Bioinformatics, Vol 22, Iss S5, Pp 1-10 (2021)
Abstract Background The prevalence of chronic disease is growing in aging societies, and artificial-intelligence–assisted interpretation of macular degeneration images is a topic that merits research. This study proposes a residual neural network (
Externí odkaz:
https://doaj.org/article/2824bc515e364981b4db36e5370d1485
Publikováno v:
BMC Bioinformatics, Vol 22, Iss S5, Pp 1-11 (2021)
Abstract Background Dengue epidemics is affected by vector-human interactive dynamics. Infectious disease prevention and control emphasize the timing intervention at the right diffusion phase. In such a way, control measures can be cost-effective, an
Externí odkaz:
https://doaj.org/article/942b0e969c6141f4a9d5b8d9f9bc88b2
Publikováno v:
BMC Bioinformatics, Vol 22, Iss S5, Pp 1-16 (2021)
Abstract Background To diagnose key pathologies of age-related macular degeneration (AMD) and diabetic macular edema (DME) quickly and accurately, researchers attempted to develop effective artificial intelligence methods by using medical images. Res
Externí odkaz:
https://doaj.org/article/a01fd1b1d46344ebb6d02656c7e3979e
Autor:
Cai Wu, Maxwell Hwang, Tian-Hsiang Huang, Yen-Ming J. Chen, Yiu-Jen Chang, Tsung-Han Ho, Jian Huang, Kao-Shing Hwang, Wen-Hsien Ho
Publikováno v:
BMC Bioinformatics, Vol 22, Iss S5, Pp 1-12 (2021)
Abstract Background Atrial fibrillation is a paroxysmal heart disease without any obvious symptoms for most people during the onset. The electrocardiogram (ECG) at the time other than the onset of this disease is not significantly different from that
Externí odkaz:
https://doaj.org/article/dc335e28fd3c4e2a84533e1c01858bbd