Nodule detection method, device and storage medium

A detection method and technology for nodules, applied in image data processing, instruments, medical automated diagnosis, etc., can solve the problem of low detection accuracy of nodules, and achieve the effect of improving accuracy and stability and improving accuracy.

Active Publication Date: 2018-12-18
TENCENT TECH (SHENZHEN) CO LTD +1
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  • Abstract
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Problems solved by technology

[0004] During the research and practice of the prior art, the inventors of the present invention found that in the existing solutions, a simple AI model is generally used for nodule detection, and the detection accuracy of nodules is not high

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  • Nodule detection method, device and storage medium
  • Nodule detection method, device and storage medium
  • Nodule detection method, device and storage medium

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Embodiment Construction

[0048] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative efforts fall within the protection scope of the present invention.

[0049] Embodiments of the present invention provide a nodule detection method, device and storage medium.

[0050] An embodiment of the present invention provides a nodule detection system, the system includes any second nodule detection device suitable for a terminal provided by any embodiment of the present invention, and any first nodule detection device suitable for a server provided by any one of the embodiments of the present invention; Wherein, the terminal may include ...

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Abstract

The embodiment of the invention discloses a nodule detection method, a device and a storage medium. The embodiment of the invention can obtain the computer tomography data of living tissue. The computer tomography data comprises a computer tomography image sequence. 3-D reconstruction of multi-position view of living tissue based on computed tomography image sequence; based on depth neural networkand computed tomography data, the nodule detection and recognition results were obtained. A nodule detection identification result and a multi-bit view are sent to the terminal for display; In addition, the scheme can reconstruct multiple views of living tissues such as transverse view, coronal view, sagittal view and so on, which is convenient for doctors to observe the nodules in all directionsand improve the accuracy of nodule diagnosis.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to an image recognition method, device and storage medium. Background technique [0002] With the development of artificial intelligence (AI, Artificial Intelligence), the application of AI in the medical field is becoming more and more extensive. For example, AI can be used to realize lesion diagnosis or detection. [0003] At present, in the medical field, nodule detection such as lung nodule detection can be realized through AI. For example, lung images can be collected, and then nodule detection can be performed on the lung image based on the lung nodule detection model to obtain nodule detection results. Show nodule detection results. [0004] During the research and practice of the prior art, the inventors of the present invention found that, in the existing solutions, a simple AI model is generally used for nodule detection, and the nodule detection accuracy ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/11G16H50/20
CPCG06T7/0004G06T2207/10016G06T2207/10081G06T2207/20084G06T2207/30064G06T7/11G16H50/20
Inventor 孙星张毅蒋忻洋郭晓威
Owner TENCENT TECH (SHENZHEN) CO LTD
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