Review: Segmentation and classification methods of 3D medical images

Ou Tan, Hui long Duan, Wei xue Lu

Research output: Contribution to journalArticle

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.

Original languageEnglish (US)
Pages (from-to)197-206
Number of pages10
JournalZhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
Volume26
Issue number3
StatePublished - Mar 2002
Externally publishedYes

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Mathematics
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ASJC Scopus subject areas

  • Medicine(all)

Cite this

Review : Segmentation and classification methods of 3D medical images. / Tan, Ou; Duan, Hui long; Lu, Wei xue.

In: Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation, Vol. 26, No. 3, 03.2002, p. 197-206.

Research output: Contribution to journalArticle

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