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Artificial intelligence multimode imaging analysis device

An artificial intelligence, multi-modal imaging technology, applied in medical images, biological neural network models, instruments, etc., can solve the problems of limited diagnostic efficiency, no intelligent automatic capture of black eyes, and inaccurate recognition of eye features. Achieve the effect of reducing the influence of reflected light interference, which is conducive to comprehensive analysis and evaluation, and reduces the dependence of professional technical level and proficiency.

Active Publication Date: 2020-05-08
TSINGHUA UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

At present, the application of sclera visual inspection is very limited. On the one hand, the auxiliary equipment for observing the sclera is a slit lamp, which takes about 30 minutes to check a patient, and the efficiency is low; on the other hand, it has high requirements for doctors and medical environments and less experience. Or when the inspection conditions are poor, it is easy to misdiagnose, and it is difficult to promote in primary hospitals and families
[0004] In the existing technology, the equipment for imaging the eyes, the system and method for in vivo analysis of human health status based on white eye shadowless imaging are disclosed, which solve some of the problems of image acquisition and image processing, but there are still widespread intelligent For low-level problems, all stages of image collection, processing, and diagnosis rely on the high cooperation of subjects and the participation of professional and technical personnel, so it is difficult to popularize
Existing technologies focus on the software and hardware design of image acquisition and preliminary image processing, but do not automatically capture black eyes intelligently, and perform spherical stitching and distortion correction on black eye positioning and white eye images. There are problems such as duplication of eye image and inaccurate recognition of eye image features caused by shooting distortion; a complete extraction method for the white eye area of ​​a true-color eye image image in the prior art realizes the overall extraction of the white eye, but does not realize the white eye. The extraction, classification, and labeling of eye image features are very limited in improving diagnostic efficiency

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Embodiment Construction

[0057] Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the drawings, it should be understood that the invention may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

[0058] It should be understood that the terminology used herein is for the purpose of describing particular example embodiments only and is not intended to be limiting. As used herein, the singular forms "a", "an" and "the" may also be meant to include the plural forms unless the context clearly dictates otherwise. The terms "comprising", "comprising", "containing" and "having" are inclusive and thus indicate the presence of stated features, st...

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Abstract

The invention discloses an artificial intelligence multimode imaging analysis device, which comprises: a human body feature image and video collection system for achieving the collection of motion video signals of all parts of a human body and the collection of human body static images; a human body feature image database for storing historical image information, image feature information and historical clinical diagnosis information; and an artificial intelligence hardware control and data analysis processing system for automatically controlling the human body feature image and video collection processing system to complete video and image acquisition, and performing analysis and comparison with the information stored in the human body feature image database to complete disease early warning and / or health state evaluation.

Description

technical field [0001] The present invention relates to the technical field of multi-mode imaging based on artificial intelligence (AI for short), in particular to an artificial intelligence multi-mode imaging analysis device. Background technique [0002] "Inspection" is the first of the four basic diagnostic methods of Chinese medicine "look", "smell", "ask" and "cut". White eyes, iris, vitreous body and fundus, etc.) and image features of other parts of the body, such as color, plaque, blood vessels, points, protrusions and other characteristic information, to diagnose human visceral diseases and analyze and predict health status. Ancient medical books such as "Huangdi Neijing", "Synopsis of the Golden Chamber" and "Meijue Huibian" have detailed records on "inspection and diagnosis", and gradually established the theory of "five wheels and eight outlines". Since modern times, the theory of "inspection" has been further improved. Zheng Deliang divided the eye sclera into ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/30G16H30/20G06N3/04G06N3/08A61B5/00A61B3/12
CPCG16H50/30G16H30/20G06N3/08A61B5/7275A61B3/12G06N3/045
Inventor 黄国亮吕文琦蒋凯符荣鑫
Owner TSINGHUA UNIV
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