Bone marrow cell classification and identification method and system based on multiple features and multiple classifiers

A bone marrow cell, multi-classifier technology, applied in the field of image processing, can solve problems such as reducing the efficiency of recognition, and achieve the effect of ensuring balance, clarity, accuracy and integrity

Active Publication Date: 2021-07-27
XI AN JIAOTONG UNIV
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  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

When observing cells manually, it is sometimes difficult to separate them due to

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  • Bone marrow cell classification and identification method and system based on multiple features and multiple classifiers
  • Bone marrow cell classification and identification method and system based on multiple features and multiple classifiers
  • Bone marrow cell classification and identification method and system based on multiple features and multiple classifiers

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Embodiment Construction

[0074] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0075] It should be understood that when used in this specification and the appended claims, the terms "comprising" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude one or Presence or addition of multiple other features, integers, steps, operations, elements, components and / or collections thereof.

[0076] It should also be understood that the terminology used ...

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Abstract

The invention discloses a bone marrow cell classification and identification method and system based on multiple features and multiple classifiers. The method comprises the following steps: training and testing bone marrow cells based on three transfer learning classifiers; respectively extracting a texture feature LBP, a shape feature HOG and a color feature HSV of the bone marrow cell image data set, performing fusion to obtain a feature fusion image, and performing fusion on the three migration classifiers by using a Keras model fusion algorithm to obtain a fusion classifier; training the fusion classifier by using the feature fusion image with the best test accuracy in the single classifier to obtain a multi-feature multi-classifier fusion model with the best test accuracy; positioning and segmenting bone marrow cells in the bone marrow cell image to obtain a model application data set; and testing the data set by using the multi-feature multi-classifier fusion model with the best test effect to obtain a final model application effect. The advantages of different features and different classifiers are combined, and the test classification accuracy of the bone marrow cells is improved.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a bone marrow cell classification and recognition method and system based on multiple features and multiple classifiers. Background technique [0002] Compared with manual recognition, computer-aided technology has many natural advantages. First, its recognition speed is fast and its efficiency is high. Generally speaking, there are few inspectors with rich experience, but there are many images of bone marrow cells. Manual identification will inevitably lead to extremely low efficiency. Good algorithms and machines can scan and recognize dozens or even hundreds of images in one minute, greatly improving efficiency. Second, the recognition accuracy is high. Some inspectors do not have rich experience, and mistakes are likely to occur during the identification process, which is not conducive to the diagnosis of diseases. As long as the computer-aided recogn...

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Application Information

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IPC IPC(8): G06T7/00G06T7/40G06T7/90G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06T7/0012G06T7/90G06T7/40G06N3/08G06T2207/20032G06T2207/20221G06T2207/10024G06T2207/20081G06T2207/30008G06V10/44G06V10/56G06N3/045G06F18/2415G06F18/241
Inventor 祖建葛飞王雯娟吴晓明
Owner XI AN JIAOTONG UNIV
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