Image processing method and device and classification model training method and device

A classification model and image processing technology, applied in the field of image processing, which can solve the problems of wrongly written and missed marks.

Active Publication Date: 2020-12-08
INFERVISION MEDICAL TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the disadvantage of the above method is that it is impossible to automatically realize the distinction between plain scan CT and enhanced CT in large batches, and there may be human errors leading to wrong and missing marks, etc.

Method used

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  • Image processing method and device and classification model training method and device
  • Image processing method and device and classification model training method and device
  • Image processing method and device and classification model training method and device

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Embodiment Construction

[0042] 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 of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0043] Application overview

[0044] CT (Computed Tomography), that is, electronic computer tomography, it uses precisely collimated X-ray beams, γ-rays, ultrasound, etc., together with highly sensitive detectors, to conduct cross-sectional scans one after another around a certain part of the human body. It has the characteristics of fast scanning time and clear images, and can be used for the examination of various diseases. According to the ...

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Abstract

The invention discloses an image processing method and device and a classification model training method and device. The image processing method comprises the steps: acquiring a CT medical image, wherein the CT medical image is an enhanced CT medical image in an arterial phase, an enhanced CT medical image in a venous phase or a plain scanned CT medical image; according to the CT medical image, obtaining a classification result that the CT medical image is the enhanced CT medical image in the arterial phase, the enhanced CT medical image in the venous phase or the plain scanned CT medical image through a classification model, wherein the classification model is used for determining the category of the CT medical image. Plain scanned CT, enhanced CT in the venous phase and enhanced CT in the arterial phase can be quickly, accurately and automatically distinguished.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image processing method and device, and a classification model training method and device. Background technique [0002] CT examination is one of many medical imaging diagnostic techniques, through which plain scan CT and enhanced CT can be obtained. Due to the different application scenarios of unenhanced CT and enhanced CT, and many CT-based disease-aided diagnosis methods and devices have a clear need to distinguish whether it is enhanced CT, so quickly and accurately distinguish between unenhanced CT and enhanced CT is an important task for many medical assistants. application prerequisites. [0003] Generally, the method of distinguishing between plain CT and enhanced CT is through the report or the sign on the film. If it is an enhanced CT, there must be a plain CT scan before. When the medical staff writes the report, there will be descriptions such a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/34G06N3/04G06N3/08G06N20/00
CPCG06N3/08G06N20/00G06V10/267G06N3/045G06F18/2411
Inventor 钏兴炳邹彤王瑜李新阳王少康陈宽
Owner INFERVISION MEDICAL TECH CO LTD
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