Computer assisted detection of liver neoplasm (CADLN)

Shrinivas Bhosale, Ashish Aphale, Isaac MacWan, Miad Faezipour, Priya Bhosale, Prabir Patra

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    To date, radiologists evaluate neoplasm images manually. Currently there is wide spread attention for developing image processing modules to detect and measure early stage neoplasm growth in liver. We report the fundamentals associated with the development of a multifunctional image processing algorithm useful to measure early growth of neoplasm and the volume of liver. Using CADLN, a radiologist will be able to compare computer generated volumetric data in serial imaging of the patients over time, that eventually will enable assessing progression or regression of neoplasm growth and help in treatment planning.

    Original languageEnglish (US)
    Title of host publication2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012
    Pages1510-1513
    Number of pages4
    DOIs
    StatePublished - 2012
    Event34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012 - San Diego, CA, United States
    Duration: Aug 28 2012Sep 1 2012

    Publication series

    NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
    ISSN (Print)1557-170X

    Other

    Other34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012
    Country/TerritoryUnited States
    CitySan Diego, CA
    Period8/28/129/1/12

    ASJC Scopus subject areas

    • Signal Processing
    • Biomedical Engineering
    • Computer Vision and Pattern Recognition
    • Health Informatics

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