An artificial intelligence multi-mode imaging analysis device

Abstract

The present invention is an artificial intelligence multi-mode imaging analysis device, which comprises: a human body characteristic image and video acquisition system, which is used to realize the motion video signal acquisition of various parts of the human body and human body static image acquisition; a human body characteristic image database, which is used to store historical images Information, image characteristic information and historical clinical diagnosis information; artificial intelligence hardware control and data analysis and processing system, used to automatically control the human body characteristic image and video acquisition and processing system to complete video and image acquisition, and store it with the human body characteristic image database analysis and comparison of the information, and complete disease warning and / or health status assessment.

Description

technical field [0001] The invention relates to the technical field of multimodal imaging based on artificial intelligence (Artificial Intelligence, AI for short), in particular to an artificial intelligence multimodal imaging analysis device. Background technique [0002] "Observation diagnosis" belongs to the first of the four basic diagnostic methods of "look", "smell", "ask" and "cut" in traditional Chinese medicine. White eyes, iris, vitreous and fundus, etc.) and image features of other parts of the body, such as color, plaque, blood vessels, points, protrusions and other feature information, to diagnose human viscera diseases and analyze and predict health conditions. "The Yellow Emperor's Classic of Internal Medicine", "The Synopsis of the Golden Chamber", "Mai Jue Hui Dian" and other ancient medical books have detailed records of "inspection and diagnosis", and gradually established the "five-wheeled and bar-shaped" theory. Since modern times, the theory of "observ...

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

Images