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Endoscope image gastrointestinal hemorrhage detection method and system based on deep learning

A gastrointestinal bleeding and detection method technology, applied in the field of endoscopic image gastrointestinal bleeding detection, can solve the problems of low detection accuracy, inability to locate the bleeding area, and poor image detection effect of the micro-bleeding area, so as to reduce model parameters , improve network performance and generalization ability, and reduce workload

Pending Publication Date: 2019-07-05
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology

[0005] Aiming at the defects of the prior art, the purpose of the present invention is to solve the technical problems of the prior art, such as low detection accuracy, poor image detection effect on micro-bleeding areas, and inability to locate bleeding areas during classification

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  • Endoscope image gastrointestinal hemorrhage detection method and system based on deep learning
  • Endoscope image gastrointestinal hemorrhage detection method and system based on deep learning
  • Endoscope image gastrointestinal hemorrhage detection method and system based on deep learning

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Embodiment Construction

[0047] In order to make the object, technical solution and advantages of the present invention clearer, the present invention 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 invention, not to limit the present invention.

[0048] Such as figure 1 Shown, a deep learning-based endoscopic image gastrointestinal bleeding detection method, the method includes the following steps:

[0049] S1. The endoscopic image data set is divided into a training set, a test set and a verification set, and the bleeding regions of the bleeding images in the training set and the verification set are marked;

[0050]S2. Constructing a bleeding detection model based on deep learning, the bleeding detection model comprising: a basic feature extraction module, an inter-level feature fusion module, a region suggestion module and a classificat...

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Abstract

The invention discloses an endoscope image gastrointestinal hemorrhage detection method and system based on deep learning. On the basis of a VGG network model, the relative structures of convolution layers and pooling layers in the VGG network model are reserved, the final full connection layer of the network is changed into the convolution layers. In addition, a BN layer is connected behind eachpooling layer, so that the defect that the size of an input image is fixed is overcome, model parameters are reduced, and the network performance and the generalization capability are better improved.An inter-level feature fusion module capable of fusing shallow features and deep features is constructed, feature information of each image is fully mined and utilized, and high detection precision is still kept for some images with low shooting quality or tiny bleeding areas. According to the invention, whether bleeding occurs or not can be automatically detected, and the position of a bleedingarea can be positioned, so that the detection result is clear at a glance, doctors can be effectively helped to make accurate judgment and effective decisions, the workload of the doctors is greatly reduced, and the working efficiency of the doctors is improved.

Description

technical field [0001] The invention belongs to the field of artificial intelligence and medical image processing, and more specifically relates to a method and system for detecting gastrointestinal bleeding in endoscopic images based on deep learning. Background technique [0002] Gastrointestinal diseases, such as gastric cancer, intestinal cancer, acute gastroenteritis, gastric ulcer, etc., are mostly common and frequently-occurring diseases, which pose a great threat to human health. Due to its high safety and It has the advantages of high reliability and is widely used as an effective means of judging gastrointestinal diseases. Many diseases of the gastrointestinal tract are accompanied by bleeding. By combining computer technology and image recognition technology, the hemorrhage images in the image sequence can be accurately detected, which can assist doctors in diagnosing gastrointestinal tract examinations with the capsule endoscope system, improve the efficiency of...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04
CPCG06N3/045G06F18/253G06F18/214
Inventor 陆枫林松廖小飞金海
Owner HUAZHONG UNIV OF SCI & TECH
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