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CT image Semi-automatic labeling method and device, electronic equipment and storage medium

A CT image, semi-automatic technology, applied in the field of computer-readable storage media, can solve the problems of time-consuming, labor-intensive and heavy workload for adding strong annotations to CT images

Pending Publication Date: 2020-10-30
微医云(杭州)控股有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, manually adding strong annotations to CT images is time-consuming and laborious, and the workload is too large

Method used

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  • CT image Semi-automatic labeling method and device, electronic equipment and storage medium
  • CT image Semi-automatic labeling method and device, electronic equipment and storage medium
  • CT image Semi-automatic labeling method and device, electronic equipment and storage medium

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Embodiment Construction

[0065] The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.

[0066] Like numbers and letters denote similar items in the following figures, so that once an item is defined in one figure, it does not require further definition and explanation in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second" and the like are only used to distinguish descriptions, and cannot be understood as indicating or implying relative importance.

[0067] Such as figure 1 As shown, the electronic device 1 provided in the embodiment of the present application includes: at least one processor 11 and a memory 12, figure 1 A processor 11 is taken as an example. The processor 11 and the memory 12 are connected through the bus 10, and the memory 12 stores instructions that can be executed by the processor 11, and the instructions are e...

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PUM

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Abstract

The invention provides a CT image semi-automatic labeling method and device, electronic equipment and a computer readable storage medium, and the method comprises the following steps: in response to alabeling instruction for a CT image sequence, generating a three-dimensional package frame for a target in the CT image sequence; taking a local image sequence of the CT image sequence in the three-dimensional wrapping frame as input of a trained medical recognition model, and obtaining specified annotation information, output by the medical recognition model, of the target, wherein the specifiedannotation information comprises actual edge information of the target in the CT image sequence; and labeling the specified labeling information for the CT image sequence. In the embodiment of the invention, through a mode of manually adding the weak annotation and calculating the strong annotation by the medical identification model, the labor cost of adding the strong annotation can be greatlyreduced.

Description

technical field [0001] The present application relates to the technical field of computer-aided medicine, in particular to a semi-automatic labeling method and device for CT images, electronic equipment, and a computer-readable storage medium. Background technique [0002] Lung cancer is a malignant tumor with high morbidity and mortality in China. Spiral CT (Computed Tomography, computerized tomography) and low-dose CT are effective tools for detecting early lung cancer. However, it takes a lot of manpower and material resources to train an excellent imaging doctor. With the wide application of lung CT primary screening, radiation There is a growing unmet need for radiologists. [0003] Since the rise of the wave of artificial intelligence, the lung primary screening technology based on artificial intelligence is an effective primary screening tool, and its development is in full swing. Ideally, artificial intelligence-based lung screening technology can reduce the worklo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/13G06T7/187
CPCG06T7/0012G06T7/13G06T7/187G06T2207/10081G06T2207/20081G06T2207/20084G06T2207/30064G06T2207/30096Y02T10/40
Inventor 方成吴边孟海忠
Owner 微医云(杭州)控股有限公司