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Separation of overlapped chromosome images from single chromosome images and detecting possibility of various diseases by karyotype

机译:从单染色体图像中分离重叠染色体图像,并通过核型检测各种疾病的可能性

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摘要

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.
机译:染色体图像处理中的挑战是将具有一个染色体的图像与具有一个以上(触摸/重叠)染色体的图像分开。该分离过程需要高精度,因为它是核型形成的基础。在这项研究中,已经使用人工神经网络解决了这个问题。然后将给定的核型与健康的核型进行比较,以检测各种疾病的可能性。

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