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In order to improve the accuracy of lung registration, a new hybrid non-rigid approach is proposed to deform the intra-subject lung images with the assistance of the anatomical landmark information. Firstly, the two volumes, respectively for expiration and inspiration breath-hold lung, are segmented to extract the airways which have tree-like topology. Secondly, the two extracted airways are skeletonized...
In diagnosing pulmonary diseases aided by computer, accurate segmentation of the airway tree from the CT images is the basis for subsequent processing and analyzing. It is still a challenging task due to the image noise, partial volume effect and texture similarity of the airway and parenchyma. In order to solve these problems, various algorithms have been proposed, among which the region growing...
In this study, a learning-based color image conversion method is proposed for cell image segmentation. Firstly, we demonstrate that minimum distance-based pixel classification, such as clustering, for color image segmentation in the color space is equivalent to thresholding grayscale images. Motivated by this result, we develop the so called C-G-T procedure for color image segmentation, where color...
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