Title :
Separation of overlapped chromosome images from single chromosome images and detecting possibility of various diseases by karyotype
Author :
Siddharth ; Tripathi, R.C.
Author_Institution :
Image Process. Lab., Indian Inst. of Inf. Technol. - Allahabad, Allahabad, India
Abstract :
A challenge in processing of chromosome images is separation of the images with one chromosome from those having more than one (touching / overlapped) chromosomes. This separation process requires high accuracy as it is the basis of formation of a karyotype. In this research the problem has been solved using Artificial Neural Networks. The given karyotype is then compared with a healthy one to detect the possibility of various diseases.
Keywords :
biology computing; cellular biophysics; diseases; genomics; image processing; neural nets; separation; artificial neural networks; chromosome image processing; diseases; karyotype formation; overlapped chromosome image separation; single chromosome images; Artificial neural networks; Biological cells; Biological neural networks; Diseases; Feature extraction; Neurons; Shape; ANN; chromosomes; detection; diseases; karyotype; processing; separating images;
Conference_Titel :
Communications and Signal Processing (ICCSP), 2013 International Conference on
Conference_Location :
Melmaruvathur
Print_ISBN :
978-1-4673-4865-2
DOI :
10.1109/iccsp.2013.6577197
