Segmentation method and device for target object in medical image and electronic equipment

A technology for target objects and medical images, applied in the field of image processing, can solve the problems of slow segmentation process and low segmentation accuracy, and achieve the effect of eliminating overlap, saving processing steps, and improving user experience.

Active Publication Date: 2020-05-15
TENCENT TECH (SHENZHEN) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] This application provides a segmentation method, device and electronic equipment for a target object in a medical image, which can solve the problem that the segmentation accuracy of the target object is relatively low or the segmentation process is slow The problem

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  • Segmentation method and device for target object in medical image and electronic equipment
  • Segmentation method and device for target object in medical image and electronic equipment
  • Segmentation method and device for target object in medical image and electronic equipment

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Embodiment Construction

[0082] Embodiments of the present application are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present application, and should not be construed as limiting the present invention.

[0083] Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the word "comprising" used in the specification of the present application refers to the presence of the features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operations, elements, components, and / or groups thereof. It will be u...

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Abstract

The embodiment of the invention provides a segmentation method and device for a target object in a medical image and electronic equipment. The method comprises the steps of obtaining a to-be-segmentedmedical image; determining a preliminary segmentation result of each target object in the medical image to be segmented according to the mask region convolutional neural network model; segmenting each target object in the preliminary segmentation result based on the mask in the preliminary segmentation result to obtain each independent target object; and outputting an image containing each independent target object. According to the embodiment of the invention, the preliminary segmentation precision of the target object is improved by using the mask region convolutional neural network model,and the preliminary segmentation result is further segmented by using the mask, so that the influence of overlapping of the target object can be eliminated, and the segmentation precision of the target object is greatly improved; according to the method, the processing steps of the pixel points except the candidate region in the medical image are saved, so that the calculation amount is reduced, the time required for segmentation is shortened on the whole, and the segmentation efficiency is improved.

Description

technical field [0001] The present application relates to the technical field of image processing, and in particular, the present invention relates to a method, device and electronic equipment for segmenting a target object in a medical image. Background technique [0002] Examination of certain diseases usually includes: biopsy sampling of tissues and organs of the person to be tested (such as a patient or a medical examiner) to obtain tissue samples; scanning of tissue samples with professional instruments to obtain medical images for doctors to observe and judge. However, on the one hand, the number of target objects such as tissue cells contained in general medical images is very large, and it will be very time-consuming and labor-intensive for doctors to screen the target objects one by one for a long time; Fatigue is prone to false detection and missed detection. Therefore, the related art has developed a segmentation method of a target object. [0003] In the prior ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/11G06T7/12G06T5/30G06N3/04
CPCG06T7/11G06T7/12G06T5/30G06T2207/20152G06T2207/20081G06T2207/20084G06T2207/30024G06N3/045
Inventor 李悦翔郑冶枫
Owner TENCENT TECH (SHENZHEN) CO LTD
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