Title :
Band classification based on chromosome shapes
Author :
Uttamatanin, Ravi ; Intarapanich, Apichart ; Kaewkamnerd, Saowaluck ; Yuvapoositanon, Peerapol ; Tongsima, Sissades
Author_Institution :
Electr. Eng. Grad. Program, Mahanakorn Univ. of Technol., Bangkok, Thailand
Abstract :
For an automatic chromosome classification, band resolution information is required in order to perform diagnosis on numerical and structural abnormalities. Metaphases with low band resolution are normal used for numerical abnormality analysis while metaphases with high band resolution are used for structural abnormality analysis. In our work, we classify metaphases into low and high band resolution groups using chromosome shape. This band classification task can automatically perform without human intervention leading to faster the diagnosis process. The results showed that chromosome shape information is able to classify metaphases into low and high band resolution groups with the accuracy of 73.08% and 95.24%, respectively.
Keywords :
biomedical optical imaging; cellular biophysics; diseases; image classification; image resolution; medical image processing; molecular biophysics; molecular configurations; shape recognition; automatic band classification task; automatic chromosome classification; band resolution information requirement; chromosome shape information; high band resolution group classification; human intervention; low band resolution group classification; metaphase classification accuracy; metaphase high band resolution; metaphase low band resolution; numerical abnormality diagnosis; structural abnormality diagnosis; Accuracy; Biological cells; Image resolution; Image segmentation; Microscopy; Probability density function; Shape; Band Classification; Chromosome; Chromosome shape; Gaussian model; Rule base classification;
Conference_Titel :
Biomedical Engineering International Conference (BMEiCON), 2013 6th
Conference_Location :
Amphur Muang
Print_ISBN :
978-1-4799-1466-1
DOI :
10.1109/BMEiCon.2013.6687672