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    Combined Statistical and Multiscale View on Ultrasonic Liver Images for Characterization

    Source: Journal of Medical Devices:;2007:;volume( 001 ):;issue: 002::page 180
    Author:
    K. Mala
    ,
    V. Sadasivam
    ,
    S. Alagappan
    DOI: 10.1115/1.2735975
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The use of ultrasonography as an imaging modality has become widespread because of its ability to visualize the organs with no deleterious effects and low cost. Using ultrasonic liver images focal diseases can be identified by differences in echogenicity between normal and areas affected by diseases. In the presence of diffused disease, however, the entire organ may be affected. In that situation, there is no contrast in echo intensity on which to base a diagnosis. Hence it is difficult for an experienced clinician to diagnose the diffused liver diseases by simple visual interpretations. This can be improved by providing useful information, obtained by computer aided tissue characterization, that cannot be obtained by simple visual interpretation.
    keyword(s): Liver , Wavelets , Artificial neural networks AND Design ,
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      Combined Statistical and Multiscale View on Ultrasonic Liver Images for Characterization

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    http://yetl.yabesh.ir/yetl1/handle/yetl/136590
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    contributor authorK. Mala
    contributor authorV. Sadasivam
    contributor authorS. Alagappan
    date accessioned2017-05-09T00:25:18Z
    date available2017-05-09T00:25:18Z
    date copyrightJune, 2007
    date issued2007
    identifier issn1932-6181
    identifier otherJMDOA4-27984#180_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/136590
    description abstractThe use of ultrasonography as an imaging modality has become widespread because of its ability to visualize the organs with no deleterious effects and low cost. Using ultrasonic liver images focal diseases can be identified by differences in echogenicity between normal and areas affected by diseases. In the presence of diffused disease, however, the entire organ may be affected. In that situation, there is no contrast in echo intensity on which to base a diagnosis. Hence it is difficult for an experienced clinician to diagnose the diffused liver diseases by simple visual interpretations. This can be improved by providing useful information, obtained by computer aided tissue characterization, that cannot be obtained by simple visual interpretation.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleCombined Statistical and Multiscale View on Ultrasonic Liver Images for Characterization
    typeJournal Paper
    journal volume1
    journal issue2
    journal titleJournal of Medical Devices
    identifier doi10.1115/1.2735975
    journal fristpage180
    journal lastpage184
    identifier eissn1932-619X
    keywordsLiver
    keywordsWavelets
    keywordsArtificial neural networks AND Design
    treeJournal of Medical Devices:;2007:;volume( 001 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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