Image recognition method and device, fundus image recognition method and electronic equipment

A fundus image and image recognition technology, applied in the field of image processing, can solve problems such as heavy workload and low work efficiency, and achieve the effect of improving accuracy and saving manpower and material resources

Pending Publication Date: 2019-11-15
腾讯医疗健康(深圳)有限公司
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the recognition process of fundus images (such as retinal detachment, macular hole fundus images, etc.), it is necessary to obtain fundus images through fundus cameras, and then ophthalmologists rely on naked eye observation to make a diagnosis. The workload is very heavy and the work efficiency is low.

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  • Image recognition method and device, fundus image recognition method and electronic equipment
  • Image recognition method and device, fundus image recognition method and electronic equipment
  • Image recognition method and device, fundus image recognition method and electronic equipment

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Embodiment Construction

[0037] Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The same reference numerals denote the same or similar parts in the drawings, and thus their repeated descriptions will be omitted.

[0038] The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided in order to give a thorough understanding of embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced without one or more of the spe...

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Abstract

The invention provides an image recognition method and device, and electronic equipment, and relates to the technical field of image processing. The image recognition method comprises the steps: obtaining a to-be-recognized image; processing the to-be-identified image through a neural network model to obtain a feature map of the to-be-identified image; processing the feature map through a full connection layer to obtain a feature vector of the to-be-identified image; according to the feature vector of the to-be-identified image and the feature vector of the standard image of the first category, obtaining the similarity between the to-be-identified image and the standard image of the first category; and recognizing the to-be-recognized image according to the similarity between the to-be-recognized image and the standard image of the first category. According to the technical scheme provided by the embodiment of the invention, the to-be-recognized image can be recognized through the similarity between the to-be-recognized image and the standard image of the first category, and the accuracy of image recognition is improved.

Description

technical field [0001] The present disclosure relates to the technical field of image processing, and in particular to an image recognition method and device, a fundus image recognition method, and electronic equipment. Background technique [0002] Eye imaging is an important means of medical auxiliary diagnosis and treatment. Many eye diseases can be directly or indirectly judged through the bleeding points and blood vessels in fundus images, such as: retinal detachment, macular hole, macular loss, arterial occlusion, hypertensive fundus disease , diabetic retinopathy, etc. [0003] In the recognition process of fundus images (such as retinal detachment, macular hole fundus images, etc.), it is necessary to obtain fundus images through fundus cameras, and then ophthalmologists rely on naked eye observation to make a diagnosis, which is a heavy workload and low work efficiency. [0004] Therefore, a method capable of completing automatic recognition of fundus images with h...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06K9/00G06K9/46G06N3/04
CPCG06N3/04G06V40/18G06V10/40G06F18/22G06F18/214
Inventor 龚丽君马锴郑冶枫
Owner 腾讯医疗健康(深圳)有限公司
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