Search Results - "Yip, Michelle Y. T."

Different fundus imaging modalities and technical factors in AI screening for diabetic retinopathy: a review by Lim, Gilbert, Bellemo, Valentina, Xie, Yuchen, Lee, Xin Q, Yip, Michelle Y T, Ting, Daniel S W

“…Effective screening is a desirable method for the early detection and successful treatment for diabetic retinopathy, and fundus photography is currently the…”
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Technical and imaging factors influencing performance of deep learning systems for diabetic retinopathy by Yip, Michelle Y. T., Lim, Gilbert, Lim, Zhan Wei, Nguyen, Quang D., Chong, Crystal C. Y., Yu, Marco, Bellemo, Valentina, Xie, Yuchen, Lee, Xin Qi, Hamzah, Haslina, Ho, Jinyi, Tan, Tien-En, Sabanayagam, Charumathi, Grzybowski, Andrzej, Tan, Gavin S. W., Hsu, Wynne, Lee, Mong Li, Wong, Tien Yin, Ting, Daniel S. W.

“…Deep learning (DL) has been shown to be effective in developing diabetic retinopathy (DR) algorithms, possibly tackling financial and manpower challenges…”
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Artificial intelligence using deep learning to screen for referable and vision-threatening diabetic retinopathy in Africa: a clinical validation study by Bellemo, Valentina, Lim, Zhan W, Lim, Gilbert, Nguyen, Quang D, Xie, Yuchen, Yip, Michelle Y T, Hamzah, Haslina, Ho, Jinyi, Lee, Xin Q, Hsu, Wynne, Lee, Mong L, Musonda, Lillian, Chandran, Manju, Chipalo-Mutati, Grace, Muma, Mulenga, Tan, Gavin S W, Sivaprasad, Sobha, Menon, Geeta, Wong, Tien Y, Ting, Daniel S W

“…Radical measures are required to identify and reduce blindness due to diabetes to achieve the Sustainable Development Goals by 2030. Therefore, we evaluated…”
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Artificial intelligence and digital solutions for myopia by Li, Yong, T. Yip, Michelle, W. Ting, Daniel, Ang, Marcus

“…Myopia as an uncorrected visual impairment is recognized as a global public health issue with an increasing burden on health-care systems. Moreover, high…”
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Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling study by Xie, Yuchen, Nguyen, Quang D, Hamzah, Haslina, Lim, Gilbert, Bellemo, Valentina, Gunasekeran, Dinesh V, Yip, Michelle Y T, Qi Lee, Xin, Hsu, Wynne, Li Lee, Mong, Tan, Colin S, Tym Wong, Hon, Lamoureux, Ecosse L, Tan, Gavin S W, Wong, Tien Y, Finkelstein, Eric A, Ting, Daniel S W

“…Deep learning is a novel machine learning technique that has been shown to be as effective as human graders in detecting diabetic retinopathy from fundus…”
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Digital Technology for AMD Management in the Post-COVID-19 New Normal by Sim, Shaun Sebastian, Yip, Michelle YT, Wang, Zhaoran, Tan, Anna Cheng Sim, Tan, Gavin Siew Wei, Cheung, Chui Ming Gemmy, Chakravarthy, Usha, Wong, Tien Yin, Teo, Kelvin Yi Chong, Ting, Daniel SW

“…The COVID-19 pandemic has put strain on healthcare systems and the availability and allocation of healthcare manpower, resources and infrastructure. With…”
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Technical and imaging factors influencing performance of deep learning systems for diabetic retinopathy by Yip, Michelle Y T, Lim, Gilbert, Lim, Zhan Wei, Nguyen, Quang D, Chong, Crystal C Y, Yu, Marco, Bellemo, Valentina, Xie, Yuchen, Lee, Xin Qi, Hamzah, Haslina, Ho, Jinyi, Tan, Tien-En, Sabanayagam, Charumathi, Grzybowski, Andrzej, Tan, Gavin S W, Hsu, Wynne, Lee, Mong Li, Wong, Tien Yin, Ting, Daniel S W

“…Deep learning (DL) has been shown to be effective in developing diabetic retinopathy (DR) algorithms, possibly tackling financial and manpower challenges…”
Get full text