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Image-based psoriasis severity assessment system

A technology of severity and psoriasis, which is applied in the field of evaluation system of psoriasis severity, can solve the problem of low evaluation accuracy and achieve the effect of improving accuracy, consistency, recognition accuracy and speed

Active Publication Date: 2022-08-09
杭州咏柳科技有限公司
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  • Application Information

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Problems solved by technology

[0011] The embodiment of the present application provides an image-based psoriasis severity assessment system to at least solve the problem of low assessment accuracy in psoriasis severity assessment in the related art

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  • Image-based psoriasis severity assessment system
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Embodiment Construction

[0044] In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be described and illustrated below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application. Based on the embodiments provided in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0045] Obviously, the accompanying drawings in the following description are only some examples or embodiments of the present application. For those of ordinary skill in the art, the present application can also be applied to the present application according to these drawings without any creative effort. other similar situations. In addition, it will also be appreciated t...

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Abstract

The invention relates to an image-based psoriasis severity assessment system, which comprises a data acquisition module, a detection and classification module and a calculation and assessment module, roughly dividing a human body into a plurality of first-level parts based on the characteristics of psoriasis, then finely dividing the first-level parts into a plurality of second-level parts, and collecting pictures of the second-level parts of a patient based on contour information; the method comprises the following steps: segmenting a secondary part region from a picture through an instance segmentation model, identifying the type of a skin lesion region through a YoV4 target detection model, scoring different types of skin lesion regions and calculating the area, and completing psoriasis severity assessment of a patient according to the score and the area. According to the method and the device, the problem of low evaluation accuracy of severity evaluation of psoriasis is solved, the consistency of images collected by the patient in the first diagnosis and the second diagnosis is improved by combining the contour information, and the precision of skin lesion area calculation is improved by the secondary parts finely divided by combining the characteristics of psoriasis.

Description

technical field [0001] The present application relates to the technical field of image processing, and in particular, to an image-based assessment system for the severity of psoriasis. Background technique [0002] The early disease severity calculation method for psoriasis patients divides the human body into four parts: head and neck, trunk, upper limbs, and lower limbs, and the doctor calculates the erythema, scale, infiltration severity score and skin lesion area ratio for each part separately. The skin lesion severity scores were added and multiplied by the proportion of the skin lesion area to obtain the psoriasis severity score for each part, and then the four part scores were added to obtain the total severity score of psoriasis patients. [0003] In the existing technical solution, the patent application No. 2022102158103 discloses an intelligent decision-making system for evaluating the severity of psoriasis based on skin images. The image of the part, the psorias...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/12G06T7/13G06T7/62G06V10/764A61B5/00
CPCG06T7/0012G06T7/11G06T7/12G06T7/13G06T7/62G06V10/764A61B5/445G06T2207/30088G06V2201/07
Inventor 张伟张靖崔涛李云鹏
Owner 杭州咏柳科技有限公司
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