A Knowledge-Guided Algorithm for Brain Lesion Detection

Yi Lu

This paper addresses the problem of the automatic detection of brain lesions in x-ray computed tomography (cr) imagery. Automatic detection of lesions is a nontrivial problem. Typically the boundaries of lesions in CT images are of single-pixel width, and the gradient at the lesion boundary varies considerably. As many studies show, these characteristics of lesions within CT images, in conjunction with the generally low signal-to-ratio of CT images, render simple boundary detection techniques ineffective.


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