AML cell segmentation method based on Meanshift cluster and morphological operations

A morphological operation and clustering technology, which is applied in the field of biomedical engineering, can solve the problems of inability to effectively solve the problem of bone marrow cell adhesion, the low segmentation accuracy of the region growing algorithm, and the low segmentation accuracy of bone marrow nuclei, so as to avoid the problem of over-segmentation, Good segmentation effect and excellent segmentation accuracy

Active Publication Date: 2015-04-01
SHANDONG UNIV
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Problems solved by technology

The current commonly used leukocyte segmentation methods are faced with the following problems: the snake algorithm takes a long time, the region growing algorithm has low segmentation accuracy, the CMYK color space segmentation of leukocytes requires high lighting, and the traditional watershed transform handles cell adhesion problems. Over-segmentation is serious, e

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  • AML cell segmentation method based on Meanshift cluster and morphological operations
  • AML cell segmentation method based on Meanshift cluster and morphological operations
  • AML cell segmentation method based on Meanshift cluster and morphological operations

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Embodiment 1

[0061] Such as figure 1 As shown, the specific implementation process of a kind of AML bone marrow leukocyte image segmentation algorithm based on meanshift clustering and morphological operation involved in the present invention is as follows:

[0062] Input raw RGB image as figure 2 shown. Observing the morphological structure of white blood cells shows that white blood cells contain nuclei, and the number of white blood cell nuclei can uniquely determine the number of white blood cells. The invention adopts the image enhancement method to obtain the binary image of the white blood cell nuclei, that is, the internal seed, and adopts the clustering and morphological methods to obtain the complete binary image of the white blood cell area, that is, the external seed. When the leukocyte nucleus, that is, the internal seed point, is not adhered, the watershed transformation can be performed on it to separate the adhered leukocytes; when the leukocyte nucleus is adhered or the...

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Abstract

The invention discloses an AML (Acute Myelocytic Leukemia) cell segmentation method based on Meanshift cluster and morphological operations. The algorithm is to cluster a bone marrow cell and a cell nucleus from two aspects of spatial distance and color distance, and is combined with a series of morphological operations and the modified watershed conversion technology, so as to solve the accurate segmentation problem of the adherent bone marrow cell and bone marrow cell nucleus. The algorithm is high in stability, and good in robustness for segmenting the adherent bone marrow cells with different AML types under different illumination conditions.

Description

technical field [0001] The invention belongs to the field of biomedical engineering, in particular to an AML cell segmentation method based on Meanshift clustering and morphological operations. Background technique [0002] Leukemia is a malignant clonal disease of hematopoietic stem cells. Clinically, leukemia is often divided into acute lymphoblastic leukemia (ALL), acute myeloid leukemia (AML, formerly known as acute non-lymphocytic leukemia), chronic myeloid leukemia, and chronic lymphocytic leukemia. In clinical practice, acute myeloid leukemia (AML) can be divided into 8 types from M0 to M7. The annual incidence of AML is about 2.3 per 100,000 people. There are slightly more men than women, and the older you are, the higher the chance of occurrence , people over 65 years old have about 10 times the chance of getting AML than those under 65 years old. AML is a serious threat to human health and happiness. With the rapid development of medical science, its diagnosis an...

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T7/0012G06T2207/10056G06T2207/30024
Inventor 刘治刘晶马玲肖晓燕唐波宿方琪
Owner SHANDONG UNIV
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