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Medical image interpretation method and device, computer equipment and storage medium

A medical imaging and imaging technology, which is applied in computer components, computing, image enhancement, etc., can solve the problem of low recognition rate of medical imaging

Pending Publication Date: 2019-08-16
PING AN TECH (SHENZHEN) CO LTD
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Problems solved by technology

[0003] Embodiments of the present invention provide a medical image interpretation method, device, computer equipment, and storage medium to solve the problem of low recognition rate of medical images

Method used

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  • Medical image interpretation method and device, computer equipment and storage medium
  • Medical image interpretation method and device, computer equipment and storage medium
  • Medical image interpretation method and device, computer equipment and storage medium

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Embodiment Construction

[0029] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are part of the embodiments of the present invention, but 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 creative efforts fall within the protection scope of the present invention.

[0030] The medical image interpretation method provided by the embodiment of the present invention can be applied in such as figure 1 in the application environment. Identify the target medical image through the pre-trained image recognition model, and visualize the abnormal lesion category in the target medical image through the target heat map according to the feature map and the map weight of the original lesion category with the maximum predicted pr...

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Abstract

The invention discloses a medical image interpretation method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining an image analysis request which comprises a target medical image; adopting a pre-trained image recognition model to recognize the target medical image, and obtaining a feature map output by the last convolutional layer in the image recognition model; based on the feature map, obtaining a prediction probability value corresponding to each original focus category output by the image recognition model; determining the original lesion category with the maximum prediction probability value as a target lesion category; obtaining a map weight corresponding to a target lesion category, carrying out classified activation mapping on a characteristic map and the map weight by adopting an activation mapping formula, obtaining a thermodynamic mapping map, superposing the thermodynamic mapping map and a target medical image, generating a target thermodynamic map, and improving an image recognition rate.

Description

technical field [0001] The invention relates to the technical field of intelligent decision-making, in particular to a medical image interpretation method, device, computer equipment and storage medium. Background technique [0002] With the development of science, convolutional neural networks have achieved excellent results in the field of image recognition in recent years. Among them, the network structure of convolutional neural networks has gradually improved, and the classification accuracy on various data sets has also increased rapidly. The rate gradually decreases, and it has gradually surpassed those who have received simple training. In the medical field, medical personnel usually make diagnoses based on medical images and experience. Insufficient experience may lead to misdiagnosis, so improving the recognition rate of medical images has become an urgent problem to be solved. Contents of the invention [0003] Embodiments of the present invention provide a med...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/62
CPCG06T7/0012G06T2207/10116G06T2207/10132G06T2207/10072G06T2207/20081G06T2207/20084G06T2207/30096G06F18/24147G06F18/241
Inventor 庞烨韦嘉楠王义文王健宗
Owner PING AN TECH (SHENZHEN) CO LTD
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