[Review: Segmentation and classification methods of 3D medical images].
作者： Hui long Duan , O. Tan , Wei xue Lu
DOI:
关键词: Artificial neural network 、 Region growing 、 Segmentation-based object categorization 、 Segmentation 、 Data mining 、 Scale-space segmentation 、 Contextual image classification 、 Image texture 、 Image segmentation 、 Artificial intelligence 、 Computer science 、 Pattern recognition
摘要: This paper presents a survey of recent publications (published in 1990 or later) concerning segmentation and classification medical images. These methods will be classified into six types: cluster (threshold), statistics methods, deformable contour, region growing, mathematics morphology, nonlinear (fuzzy segmentation, neural networks, genetic algorithm) 3D model. Each the major classes image techniques several specific examples each class algorithm are described respectively detail. At last, developing trend is also discussed.
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