Automatic classification method for bone marrow cells

A bone marrow cell and automatic classification technology, applied in the field of medical image processing, can solve the problems of not being able to express the doctor's identification experience well, blood smear staining affecting the classification results, and the similarity of white blood cells not being able to classify white blood cells.

Active Publication Date: 2018-08-07
SOUTH CHINA UNIV OF TECH
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Problems solved by technology

First of all, the feature extraction of leukocytes is mainly based on the recognition experience of laboratory doctors, describes the recognition experience, and converts it into a descriptor suitable for computer analysis. However, some descriptors cannot express...

Method used

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  • Automatic classification method for bone marrow cells
  • Automatic classification method for bone marrow cells
  • Automatic classification method for bone marrow cells

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Embodiment

[0111] The method for automatic classification of bone marrow cells in this embodiment comprises the following steps:

[0112] (1) Pre-detection of bone marrow cells based on saturation:

[0113] In the RGB color space, different spectrums may also produce the same color. Therefore, for the same bone marrow phase image, the color remains unchanged, but the three color components may change greatly due to inconsistencies in operations. In HSV space, the hue and saturation of an object are usually determined only by the light absorption and reflection properties of the object's raw material. Therefore, in the space of hue and saturation, conditional homochromaticity will not affect the judgment of the computer. Thus, hue and saturation are critical for myeloid cell segmentation.

[0114] When the bone marrow cells are stained, the nuclei and cytoplasm are stained. Under the light, the cells will show a saturated color, and the saturation of the background is generally lower th...

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Abstract

The invention discloses an automatic classification method for bone marrow cells. The method comprises the following steps: (1), carrying out saturation-based pre-detection of bone marrow cells; (2),carrying out bone marrow cell detection based on sparse representation; (3), carrying out morphology-based multi-angle bone marrow cell segmentation; (4), carrying out deep-learning-based bone marrowcell classification. According to the invention, an accurate bone marrow cell detection position, an accurate classification image, and an accurate classification result are obtained; no manual participation is needed during the whole process; the full-automatic bone marrow cell detection, segmentation and classification are realized truly; and follow-up medical treatment like acute leukemia diagnosis can be carried out conveniently.

Description

technical field [0001] The invention relates to the technical field of medical image processing, in particular to an automatic classification method for bone marrow cells. Background technique [0002] Leukemia is a malignant tumor originating from the hematopoietic system, characterized by the production and accumulation of a large number of immature and abnormal white blood cells in the bone marrow, which infiltrate other organs, leading to the suppression and failure of normal hematopoietic function. According to the degree of differentiation of leukemia cells and the length of the natural course, it can be divided into two categories: acute and chronic. The distribution of leukemia types in my country is more acute than chronic, and myeloid leukemia is more common, and its incidence rate ranks sixth among various tumors. Patients with acute leukemia (AL) are often accompanied by clinical symptoms such as anemia, hemorrhage, fever, infection, and infiltration. If no time...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06T7/136G06T7/194G06K9/00
CPCG06T7/0012G06T7/11G06T7/136G06T7/194G06T2207/10024G06T2207/10056G06T2207/30024G06V20/695G06V20/698
Inventor 王伟凝师婷婷谭燕尉岩
Owner SOUTH CHINA UNIV OF TECH
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