1. Diagnosis of Coronary Heart Disease by Optical Coherence Tomography Using Random Walk Algorithm

    Diagnosis of Coronary Heart Disease by Optical Coherence Tomography Using Random Walk Algorithm

    Objective : The objective is to study the diagnosis of coronary heart disease by optical coherence tomography based on random walk algorithm, so as to assist doctors in diagnosing coronary heart disease. Method : K -means algorithm combined with mathematical morphology provides seed points for random walk algorithm, and realizes semi-automatic segmentation of different kinds of patches. Secondly, by adding the space distance term based on the distance between the edge and the seed point in the weight function, the random walk algorithm is improved, which can make the weak edge patch area not be segmented too much. Results : the results were ...

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