Method and system for the segmentation and classification of lesions
作者： Matthew A. Kupinski , Maryellen L. Giger
DOI:
关键词: Point (geometry) 、 Pixel 、 Pattern recognition 、 Mathematics 、 Abnormality 、 Computer vision 、 Preprocessor 、 Artificial intelligence 、 Automated segmentation 、 Segmentation 、 Image (mathematics)
摘要: A method for the automated segmentation of an abnormality in a medical image, including acquiring first image data representative image; locating suspicious site at which may exist; establishing seed point within site; and preprocessing with constraint function to produce second pixel values distant are suppressed.
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