Wyniki wyszukiwania - BazTech

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A survey on image segmentation of blood and bone marrow smear images with emphasis to automated detection of Leukemia

Anilkumar K.K., Manoj V.J., Sagi T.M.

Biocybernetics and Biomedical Engineering

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2020

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Vol. 40, no. 4

1406--1420

EN

Leukemia is an abnormal proliferation of leukocytes in the bone marrow and blood and it is usually diagnosed by the pathologists by observing the blood smear under a microscope. The count of various cells and their morphological features are used by the pathologists to identify and classify leukemia. An abnormal increase in the count of immature leukocytes along with a reduced count of other blood cells may be an indication of leukemia. The Pathologist may then recommend for bone marrow examination to confirm and identify the specific type of leukemia. These conventional methods are time consuming and may be affected by the skill and expertise of the medical professionals involved in the diagnostic procedures. Image processing based methods can be used to analyze the microscopic smear images to detect the incidence of leukemia automatically and quickly. Image segmentation is one of the very important tasks in processing and analyzing medical images. In the proposed paper an attempt has been made to review the available works in the area of medical image processing of blood smear images, highlighting automated detection of leukemia. The available works in the related area are reviewed based on the segmentation method used. It is learnt that even though there are many studies for detection of acute leukemia only a very few studies are there for the detection of chronic leukemia. There are a few related review studies available in the literature but, none of the works classify the previous studies based on the segmentation method used.

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A novel approach for segmentation and counting of overlapped leukocytes in microscopic blood images

Sudha K., Geetha P.

Biocybernetics and Biomedical Engineering

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2020

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Vol. 40, no. 2

639--648

EN

Leukocytes count in the blood smear images plays an important role in identifying the overall health of the patient. The major steps involved in leukocytes counting system are segmentation and counting. However, the counting accuracy is greatly affected due to the morphological diversity of cells, the presence of staining artifacts and the overlapped cells. Therefore, this paper introduces a new framework to segment and counting of leukocytes. To segment leukocytes, an edge strength-based Grabcut method has been proposed. Later, the leukocyte region including the overlapped cells was counted using the novel gradient circular hough transform (GCHT) method. The research work was performed on ALL-IDB and Cellavision datasets. The proposed segmentation method has yielded high precision, recall and f -measure compared to the state-of-the-art methods. Additionally, comparison analy-sis was performed between the region count obtained using the existing and the GCHT method. The overall experimental results of the work showed that the proposed framework produced more accuracy in counting the leukocytes.

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Badania reaktywności leukocytów krwi po kontakcie z matrycami żelatynowo-alginianowymi

Szymonowicz M., Pliszczak-Król A., Pielka S., Król J., Graczyk S., Haznar D., Pluta J.

Engineering of Biomaterials

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2008

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Vol. 11, no. 81-84

29--30