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검색어 : 통합검색[Medicine -- Data processing -- Evaluation.]

477건 중 477건 출력

, 7/48 페이지

  • 61
    Explainability of deep learning models in medical video analysis: a survey
    Kolarik, Michal; Sarnovsky, Martin; Paralic, Jan; Babic, Frantisek; Department of Cybernetics and Artificial Intelligence, Technical University in Kosice, Kosice, Slovakia; Department of Cybernetics and Artificial Intelligence, Technical University in Kosice, Kosice, Slovakia; Department of Cybernetics and Artificial Intelligence, Technical University in Kosice, Kosice, Slovakia; Department of Cybernetics and Artificial Intelligence, Technical University in Kosice, Kosice, Slovakia; (Peerj. Computer science, v.9, 2023, pp.e1253)
  • 62
    Research of Digital Based on Network Model in the Fingerprint of Traditional Chinese Medicines (TCM)
    Yu, Qinglian; Qi, Tao; Lee, G.; ; (ITM Web of Conferences : open-access proceedings in proceedings in InformaTics et Mathematics, v.25, 2019, pp.01005)
  • 63
    scSpark<sup>XMBD</sup>: High-Performance scRNA-seq Data Processing with Spark
    Liu, Yu; Gao, Mingxuan; Tan, Lixuan; Liu, Hongjin; Lin, Yating; Yang, Wenxian; Yu, Rongshan; Xiamen University, School of Informatics, Xiamen, China; Xiamen University, School of Informatics, Xiamen, China; Xiamen University, School of Informatics, Xiamen, China; Xiamen University, School of Informatics, Xiamen, China; Xiamen University, School of Informatics, Xiamen, China; Aginome Scientific, Xiamen, China; National Institute for Data Science in Health and Medicine Xiamen University, School of Informatics, Xiamen, China; (Bioinformatics and Biomedicine (BIBM), 2021 IEEE International Conference on, v.2021, 2021, pp.1956-1962)
  • 64
    Image processing in the context of imaging science
    Beck, R.N.; ; (Image Processing, 1995. Proceedings., International Conference on, v.1995, 1995, pp.304-307)
  • 65
    IEEE 802.15.6 기반 CSMA/CA 성능 향상에 관한 연구
    이정재; 김인환; 송원대학교 컴퓨터정보학과; 송원대학교 전기전자공학과; (한국전자통신학회 논문지 = The Journal of the Korea Institute of Electronic Communication Sciences, v.10, 2015, pp.1225-1230)
  • 66
    AI for biofabrication
    Zhou, Chang; Liu, Changru; Liao, Zhendong; Pang, Yuan; Sun, Wei; ; (Biofabrication, v.17, 2025, pp.012004)
  • 67
    Instrumentation trends in nuclear medicine
    Budinger, Thomas F.; ; (Seminars in nuclear medicine, v.7, 1977, pp.285-297)
  • 68
    The future of sleep health: a data-driven revolution in sleep science and medicine
    Perez-Pozuelo, Ignacio; Zhai, Bing; Palotti, Joao; Mall, Raghvendra; Aupetit, Michaë l; Garcia-Gomez, Juan M.; Taheri, Shahrad; Guan, Yu; Fernandez-Luque, Luis; Department of Medicine, University of Cambridge, Cambridge, UK; Open Lab, University of Newcastle, Newcastle, UK; Qatar Computing Research Institute, HBKU, Doha, Qatar; Qatar Computing Research Institute, HBKU, Doha, Qatar; Qatar Computing Research Institute, HBKU, Doha, Qatar; BDSLab, Instituto Universitario de Tecnologias de la Informacion y Comunicaciones-ITACA, Universitat Politecnica de Valencia, Valencia, Spain; Department of Medicine and Clinical Research Core, Weill Cornell Medicine - Qatar, Qatar Foundation, Doha, Qatar; Open Lab, University of Newcastle, Newcastle, UK; Qatar Computing Research Institute, HBKU, Doha, Qatar; (npj digital medicine, v.3, 2020, pp.42)
  • 69
    Modeling in Biomedical Informatics - An Exploratory Analysis (Part 1)
    Hasman, A.; Haux, R.; ; (Methods of information in medicine. : Methodik der Information in der Medizin, v.45, 2006, pp.638-642)
  • 70
    Sensor, Signal and Image Informatics : State of the Art and Current Topics
    Lehmann, T.M.; Aach, T.; Witte, H.; ; (Yearbook of medical informatics, v.15, 2006, pp.57-67)

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