Automatic chromosome classification using medial axis approximation and band profile similarity

Jau Hong Kao*, Jen-Hui Chuang, Tsai-Pei Wang

*此作品的通信作者

研究成果: Conference article同行評審

2 引文 斯高帕斯(Scopus)

摘要

Automated chromosome classification is an essential task in cytogenetics and has been an important pattern recognition problem. Numerous attempts were made in the past to characterize chromosome to perform clinical and cancer cytogenetics research. It is important to determine optimum features and develop feature extraction schemes for chromosome classification. In this paper we propose novel approaches for medial axis determination and profile matching of human chromosome. The medial axis determination plays a critical role for precise and complete extraction of band patterns of chromosomes. The features of the band profile obtained along the axis are then used in the classification process. In particular, the medial axis is obtained by simple cross-section analysis and the classification is accomplished through iterative pairing of band profiles. According to the experimental results, the developed automatic system can efficiently extract band profiles of the chromosomes along their medial axes, and satisfactory chromosome classification results can be obtained.

原文English
頁(從 - 到)274-283
頁數10
期刊Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
3852 LNCS
DOIs
出版狀態Published - 14 6月 2006
事件7th Asian Conference on Computer Vision, ACCV 2006 - Hyderabad, India
持續時間: 13 1月 200616 1月 2006

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