Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Ten Cheer Quek"'
Autor:
Jocelyn Hui Lin Goh, BEng, Elroy Ang, BEng, Sahana Srinivasan, BEng, Xiaofeng Lei, MSc, Johnathan Loh, MEng, Ten Cheer Quek, BEng, Cancan Xue, PhD, Xinxing Xu, PhD, Yong Liu, PhD, Ching-Yu Cheng, PhD, Jagath C. Rajapakse, PhD, Yih-Chung Tham, PhD
Publikováno v:
Ophthalmology Science, Vol 4, Iss 6, Pp 100552- (2024)
Objective: Vision transformers (ViTs) have shown promising performance in various classification tasks previously dominated by convolutional neural networks (CNNs). However, the performance of ViTs in referable diabetic retinopathy (DR) detection is
Externí odkaz:
https://doaj.org/article/bd1577fcd2fe40daa1d4933b9d3ca3ef
Autor:
Amr Elsawy, Tiarnan D. L. Keenan, Qingyu Chen, Alisa T. Thavikulwat, Sanjeeb Bhandari, Ten Cheer Quek, Jocelyn Hui Lin Goh, Yih-Chung Tham, Ching-Yu Cheng, Emily Y. Chew, Zhiyong Lu
Publikováno v:
Communications Medicine, Vol 3, Iss 1, Pp 1-11 (2023)
Abstract Background Cataract diagnosis typically requires in-person evaluation by an ophthalmologist. However, color fundus photography (CFP) is widely performed outside ophthalmology clinics, which could be exploited to increase the accessibility of
Externí odkaz:
https://doaj.org/article/dd9c596affd749548d95bda8a94d5b55
Publikováno v:
Taiwan Journal of Ophthalmology, Vol 13, Iss 2, Pp 168-183 (2023)
Artificial intelligence (AI) has been widely used in ophthalmology for disease detection and monitoring progression. For glaucoma research, AI has been used to understand progression patterns and forecast disease trajectory based on analysis of clini
Externí odkaz:
https://doaj.org/article/e3ebda856a904dd1ba45ceb8d691d4a2
Autor:
Bjorn Kaijun Betzler, Henrik Hee Seung Yang, Sahil Thakur, Marco Yu, Ten Cheer Quek, Zhi Da Soh, Geunyoung Lee, Yih-Chung Tham, Tien Yin Wong, Tyler Hyungtaek Rim, Ching-Yu Cheng
Publikováno v:
JMIR Medical Informatics, Vol 9, Iss 8, p e25165 (2021)
BackgroundDeep learning algorithms have been built for the detection of systemic and eye diseases based on fundus photographs. The retina possesses features that can be affected by gender differences, and the extent to which these features are captur
Externí odkaz:
https://doaj.org/article/d4774cb28ee44a8f83f929b82bdea0f1
Akademický článek
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Autor:
Ten Cheer Quek, Kengo Takahashi, Hyun Goo Kang, Sahil Thakur, Mihir Deshmukh, Rachel Marjorie Wei Wen Tseng, Helen Nguyen, Yih-Chung Tham, Tyler Hyungtaek Rim, Sung Soo Kim, Yasuo Yanagi, Gerald Liew, Ching-Yu Cheng
Publikováno v:
EPMA Journal. 13:547-560
Computer-aided detection systems for retinal fluid could be beneficial for disease monitoring and management by chronic age-related macular degeneration (AMD) and diabetic retinopathy (DR) patients, to assist in disease prevention via early detection
Publikováno v:
Taiwan Journal of Ophthalmology; Apr-Jun2023, Vol. 13 Issue 2, p168-183, 16p
Autor:
Tyler Hyungtaek Rim, Marco Yu, Sahil Thakur, Henrik Hee Seung Yang, Yih Chung Tham, Geunyoung Lee, Bjorn Kaijun Betzler, Ching-Yu Cheng, Ten Cheer Quek, Zhi Da Soh, Tien Yin Wong
Publikováno v:
JMIR Medical Informatics
Background Deep learning algorithms have been built for the detection of systemic and eye diseases based on fundus photographs. The retina possesses features that can be affected by gender differences, and the extent to which these features are captu
Autor:
Bjorn Kaijun Betzler, Henrik Hee Seung Yang, Sahil Thakur, Marco Yu, Ten Cheer Quek, Zhi Da Soh, Geunyoung Lee, Yih-Chung Tham, Tien Yin Wong, Tyler Hyungtaek Rim, Ching-Yu Cheng
BACKGROUND Deep learning algorithms have been built for the detection of systemic and eye diseases based on fundus photographs. The retina possesses features that can be affected by gender differences, and the extent to which these features are captu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1d7b16f5388feefa096fba12db529a1
https://doi.org/10.2196/preprints.25165
https://doi.org/10.2196/preprints.25165
Publikováno v:
Journal of Pharmaceutical Sciences. 102:4100-4108
Microneedles are being fast recognized as a useful alternative to injections in delivering drugs, vaccines, and cosmetics transdermally. Owing to skin's inherent elastic properties, microneedles require an optimal geometry for skin penetration. In vi