Published Paper Details:

Cancer is a destructive disease that affects each patient differently. A precise and rigorous diagnosis is essential for personalized treatment . Nowadays sophisticated test procedures are being used to measure the stage and progression of the disease . Cytogenetic researches have been highly appreciated as diagnostic aids in cancer medicine .In diagnosis, study of chromosomal aberrations plays a crucial role. Karyotyping is an inevitable process which is used to identify anomalies in the structure of cells. In the present scenario, considerable effort and time is spent for the segmentation of chromosomes from the images, and classifying the individual chromosomes into one of the 24 types. The process of segmentation of individual chromosomes in metaphase images is labour intensive and time consuming. When overlapping, touching or bending chromosomes are present in the metaphase, then mannual intervention is usually required as they are not easily separable by image processing techniques . Many techniques have been proposed to automate the process of segmentation and classification of chromosomes from metaphase images with admissible accuracy. But still segmentation of complex occluded images is an open problem and is necessary to investigate further to develop methods for enhancing the accuracy. This work gives a detailed review of various research in the domain of automatic karyotyping systems.