Title :
Design of a Neural Network Classifier for Separation of Images with One Chromosome from Images with Several Chromosomes
Author :
Rahimi, Yaser ; Amirfattahi, Rassoul ; Ghaderi, Reza
Author_Institution :
Mazandaran Univ.
Abstract :
In automatic processing of chromosomes, when chromosomes are segmented from image as objects, some of chromosomes that are close to each other (touching chromosomes) or overlapped, are detected as one object. Objects that have more than one chromosome, must be processed separately from those have one chromosome. One stage of automatic processing of chromosomes is automatic separation of multi-chromosome images from one-chromosome images. In this research, a solution is found using feedforward neural networks. Generally, obtained results are satisfactory and better results can be obtained by more processing.
Keywords :
biocomputing; biology computing; feedforward neural nets; genetics; image classification; image segmentation; automatic chromosome processing; feedforward neural networks; image segmentation; image separation; neural network classifier; Arm; Biological cells; Cells (biology); Diseases; Genetics; Humans; Image processing; Neural networks; Object detection; Shape; Automatic karyotyping; chromosome; image processing; neural network classifier; overlapping chromosomes;
Conference_Titel :
Broadband Communications, Information Technology & Biomedical Applications, 2008 Third International Conference on
Conference_Location :
Gauteng
Print_ISBN :
978-1-4244-3281-3
Electronic_ISBN :
978-0-7695-3453-4
DOI :
10.1109/BROADCOM.2008.9
