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A method and system for discriminating effective images of cervical liquid-based cells

An effective image, liquid-based cell technology, applied in the field of discriminating methods and systems for effective images of cervical liquid-based cells, can solve problems such as low identification efficiency, and achieve the effect of improving efficiency

Active Publication Date: 2019-02-22
易普森智慧健康科技(深圳)有限公司
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  • Application Information

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Problems solved by technology

However, the convolutional neural network needs to manually collect a large number of invalid images that have been reviewed by pathologists, and requires the powerful computing power of GPU (Graphics Processing Unit, Graphics Processing Unit), resulting in relatively low recognition efficiency

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  • A method and system for discriminating effective images of cervical liquid-based cells
  • A method and system for discriminating effective images of cervical liquid-based cells
  • A method and system for discriminating effective images of cervical liquid-based cells

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Embodiment Construction

[0040] In order to enable those skilled in the art to better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described The implementations are only some of the implementations of the present application, not all of them. Based on the implementation manners in this application, all other implementation manners obtained by persons of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application.

[0041] see figure 1 , the present application provides a method for discriminating effective images of cervical liquid-based cells, the method comprising:

[0042] S1: Obtain the input RGB image, and judge whether there is a deep-dyed binary image and a light-colored binary image in the RGB image;

[0043] S2: ...

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Abstract

The invention relates to a method and system for discriminating effective images of cervical liquid-based cells, wherein, the method comprises the following steps: acquiring an input RGB image, and judging whether a dark dye binary image and a light dye binary image exist in the RGB image; if the RGB image has the dark dyeing binary map and the light dyeing binary map, calculating the proportion of the light dyeing points in the neighborhood of the target dark dyeing points for the target dark dyeing points; determining whether the RGB image is a valid image according to the calculated numberratio. The technical proposal provided by the application can improve the image recognition efficiency.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to a method and system for discriminating effective images of cervical liquid-based cells. Background technique [0002] There are a large number of invalid areas in the liquid-based cytogram of the cervix, that is, areas without any diagnostic value. Deep convolutional neural networks are an effective technique for identifying invalid images. However, the convolutional neural network needs to manually collect a large number of invalid images that have been reviewed by pathologists, and requires the powerful computing power of GPU (Graphics Processing Unit, Graphics Processing Unit), resulting in relatively low recognition efficiency. Contents of the invention [0003] The purpose of the present application is to provide a method and system for discriminating effective images of cervical liquid-based cells, which can improve the efficiency of image recognition....

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
CPCG06T7/0012G06T2207/10024G06T2207/10056G06T2207/30024
Inventor 周旭马世昌张源李小军李元庆
Owner 易普森智慧健康科技(深圳)有限公司
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