A chromosome image recognition method based on subregions

Toru Abe; Chieko Hamada; Tetsuo Kinoshita

doi:10.1007/978-3-642-12297-2_59

A chromosome image recognition method based on subregions

Toru Abe, Chieko Hamada, Tetsuo Kinoshita

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

To make a visual examination of a chromosome image for various chromosome abnormalities, individual chromosome regions have to be determined in a subject image and classified into distinct chromosome types in advance.We propose a subregion based method to improve this process. The proposed method regards each chromosome region as a series of subregions and iterates a search for subregions in the subject image consecutively. In this method, chromosome region classification can be performed simultaneously with its determination for each subregion, and features in the subregions can be integrated effectively for recognizing (determining and classifying) the entire chromosome region.

Original language	English
Title of host publication	Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers
Pages	611-620
Number of pages	10
Edition	PART 3
DOIs	https://doi.org/10.1007/978-3-642-12297-2_59
Publication status	Published - 2010 Dec 29
Event	9th Asian Conference on Computer Vision, ACCV 2009 - Xi'an, China Duration: 2009 Sept 23 → 2009 Sept 27

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 3
Volume	5996 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	9th Asian Conference on Computer Vision, ACCV 2009
Country/Territory	China
City	Xi'an
Period	09/9/23 → 09/9/27

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-642-12297-2_59

Cite this

Abe, T., Hamada, C., & Kinoshita, T. (2010). A chromosome image recognition method based on subregions. In Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers (PART 3 ed., pp. 611-620). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5996 LNCS, No. PART 3). https://doi.org/10.1007/978-3-642-12297-2_59

A chromosome image recognition method based on subregions. / Abe, Toru; Hamada, Chieko; Kinoshita, Tetsuo.

Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers. PART 3. ed. 2010. p. 611-620 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5996 LNCS, No. PART 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abe, T, Hamada, C & Kinoshita, T 2010, A chromosome image recognition method based on subregions. in Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers. PART 3 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 3, vol. 5996 LNCS, pp. 611-620, 9th Asian Conference on Computer Vision, ACCV 2009, Xi'an, China, 09/9/23. https://doi.org/10.1007/978-3-642-12297-2_59

Abe T, Hamada C, Kinoshita T. A chromosome image recognition method based on subregions. In Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers. PART 3 ed. 2010. p. 611-620. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3). doi: 10.1007/978-3-642-12297-2_59

Abe, Toru ; Hamada, Chieko ; Kinoshita, Tetsuo. / A chromosome image recognition method based on subregions. Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers. PART 3. ed. 2010. pp. 611-620 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3).

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A chromosome image recognition method based on subregions

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