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Akademický článek

Using a new artificial intelligence‐aided method to assess body composition CT segmentation in colorectal cancer patients

Autor: Ke Cao, Josephine Yeung, Yasser Arafat, Jing Qiao, Richard Gartrell, Mobin Master, Justin M. C. Yeung, Paul N. Baird

Publikováno v: Journal of Medical Radiation Sciences, Vol 71, Iss 4, Pp 519-528 (2024)

Abstract Introduction This study aimed to evaluate the accuracy of our own artificial intelligence (AI)‐generated model to assess automated segmentation and quantification of body composition‐derived computed tomography (CT) slices from the lumbe

Externí odkaz: https://doaj.org/article/527ad81734a24d9bb957eb6b806f93c8

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Akademický článek

Size-resolved cloud condensation nuclei (CCN) activity and closure analysis at the HKUST Supersite in Hong Kong

Autor: J. W. Meng, M. C. Yeung, Y. J. Li, B. Y. L. Lee, C. K. Chan

Publikováno v: Atmospheric Chemistry and Physics, Vol 14, Iss 18, Pp 10267-10282 (2014)

The cloud condensation nuclei (CCN) properties of atmospheric aerosols were measured on 1–30 May 2011 at the HKUST (Hong Kong University of Science and Technology) Supersite, a coastal site in Hong Kong. Size-resolved CCN activation curves, the rat

Externí odkaz: https://doaj.org/article/63aa2a8b63764f20b2bc7fef12cd5780

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Akademický článek

Body composition assessment by artificial intelligence can be a predictive tool for short-term postoperative complications in Hartmann’s reversals

Autor: Reshi Suthakaran, Ke Cao, Yasser Arafat, Josephine Yeung, Steven Chan, Mobin Master, Ian G. Faragher, Paul N. Baird, Justin M. C. Yeung

Publikováno v: BMC Surgery, Vol 24, Iss 1, Pp 1-8 (2024)

Abstract Background Hartmann's reversal, a complex elective surgery, reverses and closes the colostomy in individuals who previously underwent a Hartmann's procedure due to colonic pathology like cancer or diverticulitis. It demands careful planning

Externí odkaz: https://doaj.org/article/49b245325f904e0f9df224c83b8fe4d1

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Akademický článek

Identification of Differences in Body Composition Measures Using 3D-Derived Artificial Intelligence from Multiple CT Scans across the L3 Vertebra Compared to a Single Mid-Point L3 CT Scan

Autor: Ke Cao, Josephine Yeung, Yasser Arafat, Matthew Y. K. Wei, Justin M. C. Yeung, Paul N. Baird

Publikováno v: Radiology Research and Practice, Vol 2023 (2023)

Purpose. Body composition analysis in colorectal cancer (CRC) typically utilises a single 2D-abdominal axial CT slice taken at the mid-L3 level. The use of artificial intelligence (AI) allows for analysis of the entire L3 vertebra (non-mid-L3 and mid

Externí odkaz: https://doaj.org/article/d7b4c1f003824540b5d19a2be1be1b6b

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