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  • 1.
    Nilsson, Andreas
    et al.
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
    Almén, Martin
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
    Sundström, Johan
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
    Sond för mätning av tandfickors djup2012Independent thesis Basic level (university diploma), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    This thesis work was made in autumn 2011 and was commissioned by Accesia AB, whowanted to develop a prototype of an electronic tool for measuring periodontal pockets depth.The tool is supposed to be used in veterinary dental examinations for dogs and cats. This is aprocedure that is currently done with a graded stick and gives rise to the risk of false readings.The user should be able to use the measuring equipment to measure pocket depthelectronically. The system then presents readings and sends them to a host computer.The report describes how we have proceeded from idea to prototype. The end result should notbe regarded as a finished product, but rather as a proof of concept. The result complies with theproject specification that was developed in consultation with the project client.

  • 2.
    Tahir, Madiha
    et al.
    Mohammad Ali Jinnah University, Islamabad, Pakistan.
    Ul-Abdin, Zain
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES). TeleSehat Private Limited, Islamabad, Pakistan.
    Qadir, Muhammad Abdul
    Mohammad Ali Jinnah University, Islamabad, Pakistan.
    Enhancing the HEVC Video Analyzer for Medical Diagnostic Videos2015In: 2015 12th International Conference on High-capacity Optical Networks and Enabling/Emerging Technologies (HONET), [S.l.]: IEEE , 2015, p. 65-69, article id 7395417Conference paper (Refereed)
    Abstract [en]

    Video analyzers are employed to perform an in depth analysis of coding decisions undertaken during the execution of a video codec. Medical diagnostic videos, which are typically dealt with in telemedicine scenarios need careful examination to incorporate the most optimum coding decisions. This paper deals with the enhancement of an open-source video stream analyzer to facilitate codec development tailored for medical diagnostic videos. The proposed extensions include visual representation of quantitative information for the bit count used at CTU level, as well as displaying the different mode decisions adopted in the case of merge mode, prediction mode, and intra mode. We have incorporated the said extensions in HEVC analyzer and validated the approach by using test video sequences for Ultrasound, Eye, and Skin examination. © 2015 IEEE.

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