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Development of an automated system for the chromosome classification and abnormality detection in the case of Leukemias has significant importance in the field of cytogenetics. Such systems can be effectively used to find the genetic disorders and used in treatment evaluation procedures, prognosis prediction and in follow up treatment with the help of karyotyping. This is possible because the leukemia’s are generally characterized by numerical and structural chromosomal abnormalities. During the last three decades, several developments in the field of automated chromosome analysis have been occurred. Different preprocessing, segmentation, feature extraction and classification methods are applied to develop an automatic karyotyping system. But still now, the classification and the abnormality detection of chromosomes are done in the laboratories with the help of human intervention which is time consuming and labor intensive. Further research is needed in this field to develop completely automated abnormality detection systems which are capable of effectively identify the abnormalities without the human intervention. Here we have done a survey on different methods of karyotyping existing so far that leads to efficient systems for abnormality detection.

SURVEY ON CHROMOSOME IMAGE ANALYSIS FOR ABNORMALITY DETECTION IN LEUKEMIAS