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Review: Segmentation and classification methods of 3D medical images / 中国医疗器械杂志
Chinese Journal of Medical Instrumentation ; (6): 197-206, 2002.
Article in Chinese | WPRIM | ID: wpr-344254
ABSTRACT
This paper presents a survey of recent publications (published in 1990 or later) concerning segmentation and classification of medical images. These methods will be classified into six types cluster (threshold), statistics methods, deformable contour, region growing, mathematics morphology, nonlinear methods (fuzzy segmentation, neural networks, genetic algorithm) and 3D model. Each of the major classes of image segmentation and classification techniques and several specific examples of each class of algorithm are described respectively in detail. At last, the developing trend of 3D medical image is also discussed.
Subject(s)
Full text: Available Index: WPRIM (Western Pacific) Main subject: Algorithms / Image Processing, Computer-Assisted / Artificial Intelligence / Cluster Analysis / Retrospective Studies / Models, Statistical / Information Storage and Retrieval / Neural Networks, Computer / Methods Type of study: Observational study / Risk factors Limits: Humans Language: Chinese Journal: Chinese Journal of Medical Instrumentation Year: 2002 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Algorithms / Image Processing, Computer-Assisted / Artificial Intelligence / Cluster Analysis / Retrospective Studies / Models, Statistical / Information Storage and Retrieval / Neural Networks, Computer / Methods Type of study: Observational study / Risk factors Limits: Humans Language: Chinese Journal: Chinese Journal of Medical Instrumentation Year: 2002 Type: Article