Title :
Automatic classification of chromosomes in Q-band images
Author :
Poletti, Enea ; Grisan, Enrico ; Ruggeri, Alfredo
Author_Institution :
Dept. of Information Engineering, University of Padova, 35131, Italy
Abstract :
The manual analysis of the karyogram is a complex, wearing and time-consuming operation. It requires a very meticulous attention to details and calls for well-trained personnel. Even though existing commercial software packages provide a reasonable support to cytogenetists, they very often require human intervention to correct challenging situations.
Keywords :
Biological cells; Feature extraction; Image quality; Image resolution; Image segmentation; Multilayer perceptrons; Phase noise; Polarization; Robustness; Shape; Algorithms; Biomedical Engineering; Chromosome Banding; Chromosomes, Human; Humans; Image Interpretation, Computer-Assisted; Karyotyping; Neural Networks (Computer);
Conference_Titel :
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4244-1814-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2008.4649560
