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.
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Abe, T., Hamada, C., Kinoshita, T. (2010). A Chromosome Image Recognition Method Based on Subregions. In: Zha, H., Taniguchi, Ri., Maybank, S. (eds) Computer Vision – ACCV 2009. ACCV 2009. Lecture Notes in Computer Science, vol 5996. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12297-2_59
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DOI: https://doi.org/10.1007/978-3-642-12297-2_59
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12296-5
Online ISBN: 978-3-642-12297-2
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