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Image detection method and device, computer equipment and storage medium

An image detection and image technology, applied in the field of image processing, can solve the problem of low detection accuracy and achieve the effect of strong learning ability, high precision and fast classification process

Pending Publication Date: 2020-02-14
SHANGHAI UNITED IMAGING INTELLIGENT MEDICAL TECH CO LTD
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Problems solved by technology

[0004] However, the above-mentioned technology has the problem of low detection accuracy when detecting microvascular invasion.

Method used

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  • Image detection method and device, computer equipment and storage medium
  • Image detection method and device, computer equipment and storage medium
  • Image detection method and device, computer equipment and storage medium

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Embodiment Construction

[0034] In order to make the purpose, technical solution and advantages of the present application clearer, the present 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 the present application, and are not intended to limit the present application.

[0035] Primary liver cancer is a relatively common malignant tumor at present, which seriously threatens people's life and health. Hepatocellular carcinoma is the most common primary liver malignant tumor, and the incidence of microvascular invasion (MVI) is very high in patients with liver cancer. It is an independent risk factor for predicting the recurrence of liver cancer, and it is the main influencing index for the recurrence of liver cancer in the later stage of radical treatment. Generally, if active intervention measures can be taken in the stage of microvascular i...

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Abstract

The invention relates to an image detection method and device, computer equipment and a storage medium. The method comprises the steps of obtaining at least two medical images of a to-be-detected object, and performing segmentation processing on the at least two medical images to obtain target segmentation images; wherein each target segmentation image comprises a region of interest; inputting each target segmentation image into a neural network model for feature extraction to obtain features of the region of interest; combining the features of the region of interest with features in clinicalinformation data, and performing feature selection processing on the combined features to obtain target features; wherein features in the clinical information data are features obtained after clinicaldetection is performed on the to-be-detected object; and inputting the target features into a classifier for classification, and determining the category of the region of interest. The method can improve the detection precision.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to an image detection method, device, computer equipment and storage medium. Background technique [0002] Microvascular invasion (mVI) refers to the nests of cancer cells in the vascular lumen lined by human endothelial cells under the microscope. When the number of suspended cancer cells in the vascular lumen exceeds a certain number, it can be called mVI For many tumors, if there is neurovascular invasion, it is likely to be unfavorable to the prognosis of patients. If active intervention can be performed in the stage of microvascular invasion, the prognosis of patients can be significantly improved. Therefore, it is particularly important to detect microvascular invasion before surgery. [0003] In the related art, when microvascular invasion is detected, a single medical image of the patient is usually segmented and processed to obtain a lesion image, and aft...

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Application Information

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IPC IPC(8): G06T7/00G06T7/10G06K9/32G06K9/62
CPCG06T7/0012G06T7/10G06T2207/20104G06T2207/30004G06V10/25G06F18/24
Inventor 袁欢张剑锋吴迪嘉詹翊强曾蒙苏杨春武丽芳种欢欢
Owner SHANGHAI UNITED IMAGING INTELLIGENT MEDICAL TECH CO LTD
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