Cell image segmentation method and device

An image segmentation and cell technology, applied in the field of computer vision, can solve the problems of poor segmentation effect of overlapping cells and adhering cells, complicated steps, and large amount of computation, and achieve the effect of simple cell segmentation, optimization of model performance, and optimization of accuracy.

Inactive Publication Date: 2019-09-27
CHINA THREE GORGES UNIV +1
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Problems solved by technology

[0005] Embodiments of the present invention provide a method and device for cell image segmentation, which are used to solve the problems of the existing...

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  • Cell image segmentation method and device
  • Cell image segmentation method and device
  • Cell image segmentation method and device

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Embodiment Construction

[0022] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0023] Aiming at the problems that the existing cell segmentation methods have poor segmentation effect on overlapping cells and cohesive cells, complex steps, heavy computation and low accuracy, the embodiment of the present invention provides a cell image segmentation method. figure 1 A schematic flow chart of the cell image segmentation method ...

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Abstract

The embodiment of the invention provides a cell image segmentation method and device. The method comprises the steps of obtaining a cell image to be segmented; inputting the cell image to be segmented into a cell segmentation model to obtain a cell segmentation result outputted by the cell segmentation model, wherein the cell segmentation model is obtained by training an enhanced U-Net network based on a sample cell image and a real label image corresponding to the sample cell image, the enhanced U-Net network is a neural network in which the number of network layers is increased in an initial U-Net network, and a BN layer is added to the network. According to the method and the device provided by the embodiment of the invention, the segmentation effect of the overlapping cells and the adhesion cells is improved based on the initial U-Net network, the cell segmentation accuracy is optimized, while the model training is accelerated based on the BN algorithm, and the model performance is optimized. By inputting the to-be-segmented cell image into the cell segmentation model obtained by training, the rapid, accurate, simple and convenient cell segmentation can be realized.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to a cell image segmentation method and device. Background technique [0002] Cell segmentation is one of the most basic and important contents in medical image analysis and processing, and it is a basic premise for subsequent work such as cell identification and counting. The segmentation of cell images has irreplaceable practical significance for quantitative analysis and processing of cell information, study of cell variation, and realization of three-dimensional reconstruction of cell microscopic or ultramicroscopic structures. [0003] Traditional cell image segmentation methods can be roughly divided into two categories: region-based segmentation methods and edge-based segmentation methods. Among them, the basic principle of the region-based segmentation method is to achieve segmentation by grouping adjacent regions with similar characteristics into one category. Repr...

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Application Information

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IPC IPC(8): G06T7/10G06K9/00
CPCG06T7/10G06T2207/10056G06T2207/20081G06T2207/30024G06V20/695G06V20/698
Inventor 夏平师冬霞胡蓉雷帮军任强黄强
Owner CHINA THREE GORGES UNIV
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