Showing 2,001 - 2,020 results of 5,583 for search '"Radiology"', query time: 0.06s Refine Results
  1. 2001
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  6. 2006

    Symptomatic Intracranial Atherosclerosis in an Australian Context: Common and Underdiagnosed in Multiple Ethnic Groups by Davor Pavlin‐Premrl, Michael Waters, Vincent Thijs, Peter J. Mitchell, Nawaf Yassi, Mark W. Parsons, Louise Weir, Lauren Pesavento, Julian Maingard, Geoffrey Cloud, Vimal Stanislaus, Mei Ngun, Bruce C.V. Campbell

    Published 2025-01-01
    “…This diagnostic reference standard was compared to the proportion of patients with ICAD identified in the radiology report and stroke team clinical notes. Results Of 1328 patients included (mean age, 73 years; 43% female), the proportion of patients with centrally read symptomatic ICAD was 14%, of whom 39% were diagnosed by the stroke clinical team and 65% by the reporting radiologist. …”
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    Article
  7. 2007

    Fully automated segmentation and classification of renal tumors on CT scans via machine learning by Jang Hee Han, Byung Woo Kim, Taek Min Kim, Ji Yeon Ko, Seung Jae Choi, Minho Kang, Sang Youn Kim, Jeong Yeon Cho, Ja Hyeon Ku, Cheol Kwak, Young-Gon Kim, Chang Wook Jeong

    Published 2025-01-01
    “…Both conventional radiological features (Hounsfield units, HUs) and radiomic features extracted from areas predicted by the deep learning models were used to develop an algorithm for classifying renal tumor subtypes via a random forest classifier. …”
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    Article
  8. 2008
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  13. 2013

    Application of a deep learning algorithm for the diagnosis of HCC by Philip Leung Ho Yu, Keith Wan-Hang Chiu, Jianliang Lu, Gilbert C.S. Lui, Jian Zhou, Ho-Ming Cheng, Xianhua Mao, Juan Wu, Xin-Ping Shen, King Ming Kwok, Wai Kuen Kan, Y.C. Ho, Hung Tat Chan, Peng Xiao, Lung-Yi Mak, Vivien W.M. Tsui, Cynthia Hui, Pui Mei Lam, Zijie Deng, Jiaqi Guo, Li Ni, Jinhua Huang, Sarah Yu, Chengzhi Peng, Wai Keung Li, Man-Fung Yuen, Wai-Kay Seto

    Published 2025-01-01
    “…In external testing (551/717 patients/observations), the AUC of ST3DCN was 0.901 (95% CI, 0.877–0.924), which was non-inferior to radiological interpretation (AUC 0.900; 95% CI, 0.877–-923). …”
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    Article
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