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Dermatological clinical image multi-classification method based on transfer learning

A technology of transfer learning and skin diseases, applied in the field of multi-classification of clinical images of skin diseases based on transfer learning, to achieve the effect of improving classification accuracy and generalization performance, fast and accurate multi-classification, and solving over-fitting problems

Active Publication Date: 2019-11-05
ZHENGZHOU UNIV
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Problems solved by technology

[0003] The purpose of the present invention is to provide a multi-classification method for clinical images of skin diseases based on transfer learning, which solves the technical problem of classifying clinical images of skin diseases

Method used

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  • Dermatological clinical image multi-classification method based on transfer learning
  • Dermatological clinical image multi-classification method based on transfer learning
  • Dermatological clinical image multi-classification method based on transfer learning

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Embodiment Construction

[0035] Such as Figure 1-Figure 4 A multi-classification method for clinical images of skin diseases based on migration learning is shown, including the following steps:

[0036] Step 1: Establish a server cluster, and establish an image acquisition module, an image preprocessing module and a transfer learning module in the server cluster;

[0037] Step 2: the image acquisition module acquires skin disease images through the Internet, and establishes an image database for storing skin disease images;

[0038] Step 3: Since the skin disease images are collected under different shooting conditions, and the images have diversity (boundary, shape, arrangement), it is necessary to preprocess the skin disease images to reduce the influence of irrelevant factors in the image. The image preprocessing module Preprocess all skin disease images in the image database, the steps are as follows:

[0039] Step S1: Perform Gaussian filtering to denoise the skin disease image according to th...

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Abstract

The invention discloses a dermatological clinical image multi-classification method based on transfer learning, and belongs to the technical field of image processing. The method includes the steps ofestablishing a server cluster, and establishing an image acquisition module, an image preprocessing module and a transfer learning module in the server cluster. The technical problem of how to classify dermatological clinical images is solved. By means of the method, image data can be rapidly and accurately multi-classified.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a multi-classification method for clinical images of skin diseases based on transfer learning. Background technique [0002] In the diagnosis of skin diseases, benign moles, seborrheic keratosis and melanoma are difficult to distinguish, and experienced doctors are needed to make accurate judgments. Due to the large differences in clinical images of skin diseases and the large data flow, There is currently no method for fast multi-classification of clinical images in dermatology. Contents of the invention [0003] The purpose of the present invention is to provide a multi-classification method for clinical images of skin diseases based on transfer learning, which solves the technical problem of classifying clinical images of skin diseases. [0004] To achieve the above object, the present invention adopts the following technical solutions: [0005] A mult...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/20G06K9/62G06T7/00G06T7/90G06T5/40
CPCG16H50/20G06T7/0012G06T7/90G06T5/40G06T2207/30088G06F18/214
Inventor 赵杰翟运开石金铭甘富文陈昊天宋晓琴卢耀恩曹明波
Owner ZHENGZHOU UNIV
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