Computer-assisted recognition device and computer-assisted recognition system

Abstract

The invention provides a computer-assisted recognition device and a corresponding computer-assisted recognition system. The computer-assisted recognition device comprises a scanning data acquiring module, a scanning image generating module, an acupoint information acquiring module and a lesion type recognizing module, wherein the scanning data acquiring module is used for receiving a scanning signal of a lesion region of a patient and acquiring the scanning data of the lesion region according to the scanning signal; the scanning image generating module is used for generating a scanning image of the lesion region according to the scanning data; the acupoint information acquiring module is used for receiving detection signals of at least one acupoint of the patient and acquiring the acupoint information of at least one acupoint according to the detection signals; and the lesion type recognizing module is used for recognizing the lesion type of the lesion region according to the image information in the scanning image and the acupoint information of at least one acupoint. Therefore, the research results of the meridian theory in the traditional Chinese medicine field can be effectively applied to the modern medical imaging technology to improve the probability of accurate diagnosis of lesions.

Description

technical field [0001] The invention relates to image analysis and recognition technology of medical images, in particular to a computer-aided recognition device and system. Background technique [0002] Cancer is one of the diseases that seriously endanger human life and health. The early detection and diagnosis of cancer is an important topic in the field of cancer medical research, and it also plays a very important role in the later treatment and cure of cancer. [0003] With the combination of physics and medicine more and more, a variety of medical imaging technologies have developed rapidly, such as X-ray perspective, computed tomography (CT), infrared perspective, ultrasonic scanning and magnetic resonance imaging (MRI) and other human imaging The tool is also being used more and more widely in the diagnosis of cancer. On the one hand, these human body imaging tools have greatly expanded the examination methods of doctors, and compared with some traditional examinat...

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Problems solved by technology

[0005] Although the above-mentioned computer-aided diagnosis schemes can help doctors improve the probability of correct diagnosis, the processing methods such as image analysis and recognition used in such schemes are still mainly based on image data in the morphological category. It largely depends on the high resolution of the image and the extraction of effective image morphological features

However, in the actual clinical diagnosis, in many cases, the correct diagnosis of the lesion type cannot be made only based on the morphological features of the lesion area. How to effectively combine the morphological features of the image with other information and use them in the process of computer automatic classification is one of the current research issues

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