Overlapping chromosome segmentation method based on deformable U-shaped network

Abstract

The invention discloses an overlapping chromosome segmentation method based on a deformable U-shaped convolutional neural network, so as to further improve the accuracy of the existing segmentation technology. An experiment is performed around a human chromosome image of the same region in the metaphase of mitotic metaphase. The method comprises the following steps: 1) combining DAPI and Cy3 images into a grayscale image, and extracting 46 individual chromosomes one by one; 2) respectively carrying out image enhancement processing on the 46 chromosome images and superposing the 46 chromosome images in pairs to construct an overlapped chromosome image library; 3) dividing the overlapped chromosome image library into a training sample set, a verification sample set and a test sample set; and4) constructing a deformable U-shaped network, completing network training through the training sample set, verifying the sample set to evaluate and test the network, and finally performing overlapping chromosome segmentation on the test sample set. According to the method, various characteristics including chromosome morphological changes such as angles and curl states are extracted by utilizinga deformable U-shaped network structure, so that the accuracy of overlapping chromosome segmentation is improved.

Description

technical field [0001] The invention belongs to the field of image segmentation, in particular to an image segmentation method for overlapping chromosomes. Background technique [0002] Chromosomes in normal cells appear in a fixed number and shape, and may form lesions after being polluted by radiation, chemical drugs, etc., manifested as abnormal chromosome number or shape. Therefore, how to correctly identify chromosomes is very important for medical diagnosis and biomedical research. In chromosome images, chromosome overlap is a very common phenomenon, accounting for about 40%, most of which are two chromosomes overlapping. Therefore, how to accurately distinguish the overlapping chromosomes, especially the two chromosomes is the prerequisite for the normal development of chromosome identification. At present, some automatic chromosome analysis systems have been developed in China, which can reduce the labor intensity of medical workers to a certain extent, but when th...

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Problems solved by technology

However, this method does not fully consider the detailed requirements of the segmentation caused by the deformation of the chromosome in the chromosome image, such as the angle and shape. Therefore, the accuracy of its segmentation still needs to be improved.

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