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Intelligent decision-making system for evaluating severity of psoriasis based on skin image

A skin image and severity technology, applied in the field of intelligent decision-making systems, can solve the problems of psoriasis without considering the subjective feelings of patients, and the inability to objectively and comprehensively evaluate the severity of psoriasis

Inactive Publication Date: 2022-04-08
XIANGYA HOSPITAL CENT SOUTH UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] The present invention provides an intelligent decision-making system for evaluating the severity of psoriasis based on skin images, which is used to solve the problem that the existing intelligent evaluation method for psoriasis does not consider the subjective feelings of patients and cannot evaluate the severity of psoriasis objectively and comprehensively. technical problem

Method used

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  • Intelligent decision-making system for evaluating severity of psoriasis based on skin image

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Embodiment 1

[0038] Such as figure 1 As shown, this implementation discloses an intelligent decision-making system for assessing the severity of psoriasis based on skin images, including: an image acquisition component, an identification and segmentation component, a PASI score calculation component, a DLQI score acquisition component and an evaluation component, and an image acquisition component : Used to collect skin images of various parts of the body of the subject to be evaluated;

[0039] Identification and segmentation component: used to input the skin images of various parts of the body of the subject to be evaluated into the pre-built tissue region segmentation model, and identify and segment the psoriatic lesions in the skin images of various parts of the body;

[0040] PASI score calculation component: used to calculate the skin lesion area in each part of the body according to the psoriasis skin lesion area segmented in the skin image of each part of the body; and calculate th...

Embodiment 2

[0045] Embodiment 2 is a preferred embodiment of Embodiment 1. It differs from Embodiment 1 in that it introduces the construction and application of an intelligent decision-making system for assessing the severity of psoriasis based on skin images, specifically including:

[0046] Step 1: Data Collection and Preprocessing

[0047] 300,000 clinical images of psoriasis were collected for the realization of the psoriasis intelligent evaluation system. Each image was labeled with labelImg software, and the skin type and lesion location in the image data were marked for feature recognition by the machine. 1000 cases of psoriasis images were scored manually by 3 clinicians, respectively.

[0048] Step 2 Model building and training

[0049] Generate tissue region segmentation model: According to the skin disease image samples and tissue region division labels, apply the self-optimized InceptionResNetV2 model for deep learning training of skin disease image samples, iteratively opti...

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Abstract

The invention discloses an intelligent decision-making system for evaluating the severity of psoriasis based on skin images. The intelligent decision-making system comprises an image acquisition assembly for acquiring skin images of all parts of the body of a to-be-evaluated person; the recognition and segmentation assembly is used for inputting the skin image into a tissue region segmentation model and recognizing and segmenting a psoriasis skin lesion region in the skin image; the PASI score calculation component is used for calculating the skin lesion area according to the psoriasis skin lesion area obtained through segmentation and calculating the PASI score according to the skin lesion area in each part of the body; the DLQI score obtaining component is used for collecting DLQI reply data of the to-be-evaluated person and calculating the DLQI score of the to-be-evaluated person according to the DLQI reply data; and the evaluation component is used for comprehensively evaluating the psoriasis severity of the person to be evaluated according to the PASI score and the DLQI score. According to the method, the severity of the psoriasis is evaluated by adopting the PASI scale and the DLQI scale, and objective evaluation of the psoriasis can be realized.

Description

technical field [0001] The invention relates to the field of computer-aided diagnosis, in particular to an intelligent decision-making system for evaluating the severity of psoriasis based on skin images. Background technique [0002] Psoriasis is a chronic skin disease with an incidence of 2% to 3% of the world's total population. The disease cannot be cured completely and requires lifelong care. If the exacerbation of psoriasis is not detected and treated properly, it may cause serious complications and even lead to life-threatening. Therefore, continuous tracking of psoriasis severity is the key to psoriasis treatment. Studies have shown that the recurrence rate of psoriasis patients with supervision is 80% lower than that of psoriasis patients without supervision. [0003] The existing evaluation of the severity of psoriasis is generally implemented by doctors, but this manual evaluation method has the problems of low efficiency and poor consistency. In order to over...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06T7/90G06T7/62G16H10/20G16H50/30G16H20/00G06F16/332G06F16/33G06F40/211A61B5/00
Inventor 陈翔黄凯赵爽李宜昕
Owner XIANGYA HOSPITAL CENT SOUTH UNIV