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pro vyhledávání: '"KERR, DEBORAH"'
Publikováno v:
Health Expectations. Aug2024, Vol. 27 Issue 4, p1-11. 11p.
Publikováno v:
Britannica Online
Externí odkaz:
http://academic.eb.com/levels/collegiate/article/106422
Autor:
Shao, Zeman, Han, Yue, He, Jiangpeng, Mao, Runyu, Wright, Janine, Kerr, Deborah, Boushey, Carol, Zhu, Fengqing
Accurate assessment of dietary intake requires improved tools to overcome limitations of current methods including user burden and measurement error. Emerging technologies such as image-based approaches using advanced machine learning techniques coup
Externí odkaz:
http://arxiv.org/abs/2110.01754
Autor:
Whitton, Clare, Collins, Clare E, Mullan, Barbara A, Rollo, Megan E, Dhaliwal, Satvinder S, Norman, Richard, Boushey, Carol J, Delp, Edward J, Zhu, Fengqing, McCaffrey, Tracy A, Kirkpatrick, Sharon I, Pollard, Christina M, Healy, Janelle D, Hassan, Amira, Garg, Shivangi, Atyeo, Paul, Mukhtar, Syed Aqif, Kerr, Deborah A
Publikováno v:
In The American Journal of Clinical Nutrition July 2024 120(1):196-210
Autor:
Shao, Zeman, Fang, Shaobo, Mao, Runyu, He, Jiangpeng, Wright, Janine, Kerr, Deborah, Boushey, Carol Jo, Zhu, Fengqing
We aim to estimate food portion size, a property that is strongly related to the presence of food object in 3D space, from single monocular images under real life setting. Specifically, we are interested in end-to-end estimation of food portion size,
Externí odkaz:
http://arxiv.org/abs/2103.07562
Autor:
Yarlagadda, Sri Kalyan, Montserrat, Daniel Mas, Guerra, David, Boushey, Carol J., Kerr, Deborah A., Zhu, Fengqing
Advances in image-based dietary assessment methods have allowed nutrition professionals and researchers to improve the accuracy of dietary assessment, where images of food consumed are captured using smartphones or wearable devices. These images are
Externí odkaz:
http://arxiv.org/abs/2102.06882
Autor:
He, Jiangpeng, Mao, Runyu, Shao, Zeman, Wright, Janine L., Kerr, Deborah A., Boushey, Carol J., Zhu, Fengqing
Modern deep learning techniques have enabled advances in image-based dietary assessment such as food recognition and food portion size estimation. Valuable information on the types of foods and the amount consumed are crucial for prevention of many c
Externí odkaz:
http://arxiv.org/abs/2102.00645
Deep learning based methods have achieved impressive results in many applications for image-based diet assessment such as food classification and food portion size estimation. However, existing methods only focus on one task at a time, making it diff
Externí odkaz:
http://arxiv.org/abs/2004.13188
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