Solitary pulmonary nodules detection based on dot-filter and region growing

Liwei Li, Xin Wang, Yang Li, Li Wang

    Research output: Contribution to journalArticle

    1 Citation (Scopus)

    Abstract

    The methods we proposed is the Dot-Filter and Region growing for the detection of solitary pulmonary nodules. Firstly, Two-dimensional dot-filter is constructed by using Two-dimensional Hessian matrix, and is used to detect the solitary pulmonary nodules. For the CT values of the vessels and airway do not conform to Gauss distribution, lots of normality treated as nodules will emerge after the way used above. Finally, we use Region growing and Tree-dimensional Hessian matrix to eliminate the false-positive. It is a method with high speed and high accuracy.

    Original languageEnglish
    Pages (from-to)1176-1181
    Number of pages6
    JournalJournal of Chemical and Pharmaceutical Research
    Volume6
    Issue number5
    Publication statusPublished - 2014

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