Segmentation of leukemia in blood cell image

Zhifeng Zhu; Hongxing Pei

doi:10.1117/12.2680959

8 June 2023 Segmentation of leukemia in blood cell image

Zhifeng Zhu, Hongxing Pei

Proceedings Volume 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023); 127072A (2023) https://doi.org/10.1117/12.2680959
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 2023, Changsha, China

Abstract

Leukemia is an abnormal proliferation of white blood cells in bone marrow and blood. The abnormal increase of immature white blood cell count and the decrease of other blood cell counts may be signs of leukemia. Usually, pathologists diagnose leukemia by observing blood smears under a microscope. Bone marrow examination can be recommended to confirm and identify the specific type of leukemia. These routine methods are time-consuming and may be affected by the skills and expertise of the medical staff involved in the diagnostic process. Image processing based methods can be used to analyze microscopic smear images to automatically and quickly detect the incidence rate of leukemia. Image segmentation is one of the important tasks in processing and analyzing medical images. In this paper, we try to review the relevant works in the medical image processing field of blood smear images, focus on the automatic detection of leukemia, and classify and discuss the works in the relevant fields according to the segmentation methods used.

Citation Download Citation

Zhifeng Zhu and Hongxing Pei "Segmentation of leukemia in blood cell image", Proc. SPIE 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 127072A (8 June 2023); https://doi.org/10.1117/12.2680959

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