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A key region identification method for immunofixation electrophoresis

An immunofixation electrophoresis and key area technology, which is applied in the field of medical technology and deep learning, can solve the problems of rough visualization effect, inability to perform precise positioning, and human intervention in the positioning method, so as to save workload and working time and achieve high accuracy Effect

Active Publication Date: 2022-07-08
SICHUAN UNIV
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Problems solved by technology

[0005] In view of the above-mentioned research problems, the purpose of the present invention is to provide a key area identification method for immunofixation electrophoresis, which solves the problems in the prior art that the visualization effect is relatively rough, precise positioning cannot be performed, and the positioning method cannot be manually intervened.

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  • A key region identification method for immunofixation electrophoresis
  • A key region identification method for immunofixation electrophoresis
  • A key region identification method for immunofixation electrophoresis

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Embodiment Construction

[0049] The present invention will be further described below with reference to the accompanying drawings and specific embodiments.

[0050] The implementation of the present invention proposes a key area identification method for immunofixation electrophoresis, which can quickly identify the key area and visually display the key area.

[0051] The main process of the present invention includes: 1) collection of immunofixation electrophoresis image sets; 2) the electrophoresis image is divided into multiple electrophoresis bands; 3) each electrophoresis band is divided into multiple sub-bands; 4) the similarity between the electrophoresis bands is calculated Contrast; 5) Design the attention module of the convolutional neural network; 6) Train the convolutional neural network; 7) Calculate the saliency map of the similarity matrix of the electrophoretic image to be recognized; 8) Calculate the saliency map of the electrophoretic image to be recognized; 9) Visually display key a...

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Abstract

A key area identification method for immunofixation electrophoresis belongs to the technical field of medical technology and deep learning, and solves the problems in the prior art that the visualization effect is relatively rough, accurate positioning cannot be performed, and the positioning method cannot be manually intervened. The present invention sequentially includes: 1) collection of immunofixation electrophoresis image sets; 2) dividing each electrophoresis image into a plurality of electrophoresis bands; 3) dividing each electrophoresis band into a plurality of sub-bands; 4) performing similarity between each electrophoresis band 5) Design the attention module of the neural network; 6) Train the convolutional neural network; 7) Calculate the saliency map of the electrophoresis image similarity matrix to be recognized; 8) Calculate the saliency map of the electrophoresis image to be recognized; 9) The visualization shows the focus area. The present invention is used to visually display critical areas of electrophoretic images.

Description

technical field [0001] The invention discloses a key area identification method for immunofixation electrophoresis, which is used for visually displaying key areas of electrophoresis images, and belongs to the technical field of medical technology and deep learning. Background technique [0002] Among the malignant proliferative diseases of bone marrow plasma cells, multiple myeloma is the more common condition. This type of disease is usually accompanied by the production of a large amount of monoclonal immunoglobulin (Monoclonal Protein), hereinafter referred to as M protein, in the patient's body. Immunofixation Electrophoresis (IFE) is an immunochemical analysis technique based on electrophoresis and precipitation, which has been widely used in clinical practice to detect the content of immunoglobulins. type. In general, a total of 8 types of multiple myeloma cases can be detected, namely IgG-KAP, IgG-LAM, IgA-KAP, IgA-LAM, IgM-KAP, IgM-LAM, KAP, and LAM. like figure...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V10/25G06V10/74G06V10/82G06K9/62G06T7/00G06N3/04
CPCG06T7/0012G06T2207/30008G06T2207/30096G06V10/25G06N3/045G06F18/22
Inventor 魏骁勇张栩禄杨震群武永康
Owner SICHUAN UNIV
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