AML cell segmentation method based on Meanshift cluster and morphological operations

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...

AI Technical Summary

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, etc.

[0006] 1. The segmented image is greatly affected by the light

[0007] 2. The threshold in binary segmentation cannot adapt to changes in the cell environment

[0008] 3. The segmentation accuracy of bone marrow cell nuclei is low

[0009] 4. The accuracy of white blood cell segmentation is low

[0010] 5. Cannot effectively solve the complex bone marrow cell adhesion problem

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