淡江大學機構典藏:Item 987654321/122948
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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/122948


    Title: An Efficient Segmentation Framework for Continuous CT Images
    Authors: Wang, You-Wei;Chen*, Chii-Jen
    Keywords: computed tomography (CT);DICOM;segmentation;differentiation method
    Date: 2010-12
    Issue Date: 2023-04-28 16:32:10 (UTC+8)
    Publisher: 元培醫事科技大學行動科技應用系
    Abstract: In the present, the applications of computed tomography (CT) imaging for medical diagnosis become more and more important. However, there are a lot of continuous images produced from the CT equipment, and it will cost much time for the physician to check and analyze one by one. In this paper, we focused on the continuous lung CT images. We proposed the efficient framework of texture acquisition and contour segmentation by some useful image processing methods. The experiment results show that the performance of this system is satisfactory.
    Relation: Journal of Image Processing and Communication 2(1), p.31-34
    DOI: 10.30172/JIPC.201012.0006
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Journal Article

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