Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Kuo-Ying Liu"'
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:
IET Computer Vision, Vol 17, Iss 7, Pp 750-762 (2023)
Abstract Convolutional deep learning models have shown comparable performance to radiologists in detecting and classifying thoracic diseases. However, research on rib fractures remains limited compared to other thoracic abnormalities. Moreover, exist
Externí odkaz:
https://doaj.org/article/648e9732ea4b4402b24ee8478558ce36
Publikováno v:
Diagnostics, Vol 12, Iss 6, p 1457 (2022)
Chest X-ray (CXR) is widely used to diagnose conditions affecting the chest, its contents, and its nearby structures. In this study, we used a private data set containing 1630 CXR images with disease labels; most of the images were disease-free, but
Externí odkaz:
https://doaj.org/article/63d5521904094443a7d11fe70ac239e5
Autor:
Kuo-Ying Liu, 劉國英
101
Purpose：The multi-detector computed tomography (MDCT) is widely used to diagnose for coronary artery disease (CAD). However, CAD remains the main cause of death on the earth. Therefore, it is important to find informative and useful predic
Purpose：The multi-detector computed tomography (MDCT) is widely used to diagnose for coronary artery disease (CAD). However, CAD remains the main cause of death on the earth. Therefore, it is important to find informative and useful predic
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/75160904911629122293
Autor:
Kuo-Ying Liu, 劉國穎
96
In this thesis, the adaptive fuzzy cerebellar model articulation controller (AFCMAC) is proposed, which was designed using the cerebellar model articulation controller and fuzzy inference with the Gauss membership function. This controller ca
In this thesis, the adaptive fuzzy cerebellar model articulation controller (AFCMAC) is proposed, which was designed using the cerebellar model articulation controller and fuzzy inference with the Gauss membership function. This controller ca
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/sry83k
Autor:
Kuo-Ying Liu, 劉國英
90
The Study of Factors Affecting Accounting Skill Achievements of Commercial Senior High School Students in Taiwan Advisor : Chu-Hsun Kuo, Ph.D Author : Kuo-Ying Liu, ABSTRACT The purposes of this study are to explore the factors affecting acco
The Study of Factors Affecting Accounting Skill Achievements of Commercial Senior High School Students in Taiwan Advisor : Chu-Hsun Kuo, Ph.D Author : Kuo-Ying Liu, ABSTRACT The purposes of this study are to explore the factors affecting acco
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/04832857405726861459
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:
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, Chi-Yuan Wang, Yi-Kai Kao, Kuo-Ying Liu, Ming-Chia Lin, Li-Ren Yeh, Yi-Ming Wang, Chih-I Chen, Feng-Chen Kao
Publikováno v:
Healthcare; Volume 10; Issue 12; Pages: 2382
According to the Health Promotion Administration in the Ministry of Health and Welfare statistics in Taiwan, over ten thousand women have breast cancer every year. Mammography is widely used to detect breast cancer. However, it is limited by the oper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18298bb6a27dee90f810c5cdc214a8ac