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Cancer screening method and cancer screening system based on face features

A facial feature, cancer technology, applied in the direction of instrument, character and pattern recognition, health index calculation, etc., can solve the problems of backward economic conditions, lack of cancer prevention awareness, low penetration rate of cancer screening equipment, etc., to achieve no toxic side effects Effect

Pending Publication Date: 2020-04-17
梁斌
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Subjectively, most of the population in my country lacks awareness of cancer prevention; objectively, a considerable part of my country’s economic conditions are backward, and the penetration rate of cancer screening equipment is low

Method used

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  • Cancer screening method and cancer screening system based on face features
  • Cancer screening method and cancer screening system based on face features
  • Cancer screening method and cancer screening system based on face features

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Embodiment Construction

[0042] see Figure 1~4 , the implementation process of each link will be described below in conjunction with the accompanying drawings, and a complete embodiment will be given in conjunction with examples.

[0043] 1. Face position detection based on histogram of oriented gradients (HOG) features

[0044] Before performing HOG feature detection, the detection image is scaled to multiple different sizes through image pyramid technology, and then the sliding detection window strategy is used to detect multiple windows of different sizes. The sliding window size is determined to be 20×20. For the input image, first convert it into a grayscale image, and perform Gamma correction to prevent the light from being too bright or too dark to affect the processing result. Then calculate the gradient of the image along the horizontal (H(x, y)) and vertical (V(x, y)) directions and determine the modulus (m(x, y)) and direction (θ(x, y)) of the gradient ):

[0045]

[0046] θ(x,y)=ta...

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Abstract

The invention discloses a cancer screening method and screening system based on face features. According to one embodiment, the cancer screening method based on the human face features comprises the steps that a human face image of a testee is acquired, the position of the human face is detected and aligned through the direction gradient histogram features and the cascade regression technology, and the human face image is zoomed into a unified size through bilinear interpolation; features of the human face are extracted by using a convolutional neural network; and the cancer morbidity is calculated by utilizing a classifier according to the characteristics. According to the technology, no professional medical equipment is needed, and the cancer incidence probability of the testee can be obtained only by taking pictures of the testee.

Description

technical field [0001] The present invention relates to the field of pattern recognition and intelligent systems, and more particularly, to a method and system for cancer screening based on facial features. Background technique [0002] Cancer is a serious threat to human health. According to statistics, the 5-year survival rate of cancer patients in my country is only 30.9%. Cancer has become the primary cause of death in urban population. Moreover, the incidence and death of cancer in my country has shown a continuous upward trend in the past ten years. The situation of cancer prevention and control is severe, and early screening of cancer is particularly important. Taking lung cancer with the highest incidence rate in my country as an example, the 5-year survival rate of patients with stage 0 and Ia can reach 90% and 60%, while the overall 5-year survival rate of patients with stage II-IV drops from 40% to 5%. Early screening of cancer can not only significantly increase...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G16H50/30
CPCG16H50/30G06V40/172G06V40/161G06V40/168
Inventor 梁斌戴建荣黄鹏
Owner 梁斌
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