Head and Neck Imaging
CT Image Intelligent Recognition of Tuberculosis Small Point
Author：WU Jun
affiliation：The CT room of Hubei Jingzhou Second People's Hospital, Jingzhou, Hubei province, 434000
PDFAbstract
Objective To investigate the feasibility of CT image intelligent recognition of tuberculosis (TB) dot. Methods 100 CT images were selected to identify TB point through image processing, image segmentation and image classification technology. Results Among the 100 images, there were 54 pieces tuberculosis cavity and 46 no pulmonary tuberculosis cavity. Data showed that mix was the best way, FPR was 0.144 /figure, and its speed could reach to two times of that using inverse gradient variation coefficient (GICOV) alone or circulation method. Based on the classification of different two CT test image comparison, the mix method had a good performance. Conclusion CT technology to identify TB dot, in order to obtain precise and accurate diagnosis
【Keyword】CT Images; Intelligent Identification; Tuberculosis Dots
【Chart number】R521
【Document Identification Number】A
【DOI】10.3969/j.issn.1672-5131.2015.05.015
Chinese journal of CT and MRI
th13Volume， th 5 Issue
2015Year05Month
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