A method for segmenting clustered nuclei in cervical smear images

A technology for cervical smear and cell nucleus, applied in the field of image processing, can solve the problems of noise, uneven grayscale sensitivity, missing cell nucleus, limited segmentation ability, etc.
CN109102498BActive Publication Date: 2022-04-22SOUTH CHINA UNIV OF TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SOUTH CHINA UNIV OF TECH
Publication Date
2022-04-22

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Abstract

The invention provides a method for segmenting clustered nuclei in a cervical smear image, comprising the steps of: (1) preparing a data set for segmentation; (2) selecting a data set and dividing it into a test set and a training set; (3) defining DeepHLF Network, the original picture is input into the network, the network progressively extracts features and retains each level of features, and then groups the features; DeepHLF uses a high-low coupling parallel fusion module to fuse the features of each group to generate three types of features; the three types of features are combined in a cross cycle , generate multiple feature maps, and finally each feature map generates a segmentation result map; (4) Propose a mathematical method and a weight loss function to solve the kernel and background category correction. The method of the present invention can not only segment cluster-type nuclei, but also will not miss shallow nuclei or nuclei with similar gray scales to the cytoplasm during the segmentation process.
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Description

technical field

[0001] The invention belongs to the technical field of image processing, in particular to a method for cell segmentation in cervical smear images. Background technique

[0002] Early detection of cervical cancer is of great significance to reduce the mortality rate of cervical cancer, and now the cervical smear screening technology is generally used for inspection. Today's smear screening is mainly based on manual reading, but this method is very inefficient; with the maturity of cervical cell diagnosis technology and the development of domestic cell automatic production technology, the development of computer-aided The diagnosis system has also become inevitable, and it has great significance for the screening of cervical cancer.

[0003] At present, there are many cell image segmentation methods. Here, the information or theories used by these algorithms can be abstracted into cell segmentation algorithms using area information, segmentation algorithms usi...

Claims

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