Method and device for annotating medical images

A medical image and image technology, which is applied in the field of labeling medical images, can solve the problems of large manpower and time costs, and achieve the effect of reducing manpower and time costs

Pending Publication Date: 2018-01-09
BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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  • Claims
  • Application Information

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Problems solved by technology

However, obtaining large-scale annotated medical images usually requires a lot of human and time costs

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  • Method and device for annotating medical images
  • Method and device for annotating medical images
  • Method and device for annotating medical images

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Embodiment Construction

[0035] The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain related inventions, rather than to limit the invention. It should also be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings.

[0036] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.

[0037] figure 1 An exemplary system architecture 100 of an embodiment of the method for annotating a medical image or the apparatus for annotating a medical image of the present application can be applied.

[0038] Such as figure 1 As shown, the system architecture 100 may...

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Abstract

The embodiment of the invention discloses a method and device for annotating medical images. In one embodiment, the method includes the steps that at least one to-be-annotated medical image is acquired; the to-be-annotated medical images are annotated with classification information, wherein the classification information includes the classes and grades of diagnosis results corresponding to the medical images; the to-be-annotated medical images are processed through a focus area detection model trained in advance, focus areas are box-selected from the to-be-annotated medical images and the to-be-annotated medical images are annotated with focus types of the focus areas so that the to-be-annotated medical images can be annotated with the focus areas and the focus types of the focus areas; the to-be-annotated medical images with the focus areas box-selected are segmented to obtain the box-selected focus areas to form segmented images of the to-be-annotated medical images so that the to-be-annotated medical images can be annotated with the segmented images. By means of the embodiment, the purpose of reducing the manpower and time cost for annotating medical images is achieved.

Description

technical field [0001] The present application relates to the field of computer technology, specifically to the field of Internet technology, and in particular to a method and device for labeling medical images. Background technique [0002] In the prior art, due to the particularity of medical images, usually only professionally trained doctors can accurately and reliably label medical images. In the process of labeling medical images, doctors usually need to manually determine the type of disease, screen the lesion area, outline the lesion area, etc. This labeling process requires a lot of time and energy for the doctor. [0003] Furthermore, in order to realize the development of medicine in the fields of deep learning and computer-aided diagnosis, it is an urgent need to collect large-scale annotated medical images. However, obtaining large-scale annotated medical images usually requires a lot of human and time costs. Contents of the invention [0004] The purpose of...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00G06T7/00G06T7/11
CPCG06T7/0014G06T2207/20081G06T2207/20084G06T2207/30041A61B6/032G06T2207/30061G06T2207/10088G06T2207/30096G06T2207/10081G06T7/0012
Inventor 张少霆张玮东段琦
Owner BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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