Enhanced Segmentation Algorithms for Improving Acute Lymphocytic Leukemia Diagnosis from Blood Microscopic Images

Enhanced Segmentation Algorithms for Improving Acute Lymphocytic Leukemia Diagnosis from Blood Microscopic Images
  IJETT-book-cover           
  
© 2023 by IJETT Journal
Volume-71 Issue-4
Year of Publication : 2023
Author : Saranya Vijayan, Radha Venkatachalam
DOI : 10.14445/22315381/IJETT-V71I4P241

How to Cite?

Saranya Vijayan, Radha Venkatachalam, "Enhanced Segmentation Algorithms for Improving Acute Lymphocytic Leukemia Diagnosis from Blood Microscopic Images, " International Journal of Engineering Trends and Technology, vol. 71, no. 4, pp. 483-490, 2023. Crossref, https://doi.org/10.14445/22315381/IJETT-V71I4P241

Abstract
The application of Digital Image Processing on medical images could greatly help doctors to identify the disease in an early phase before it starts spreading. In this research work, the segmentation steps needed to find out the leukemic blood cells are being discussed and elaborating some of the important segmentation steps have been carried out. The resultant images will also be given for visual analysis. Some of the important Segmentation steps associated with the leukemic blood cell images will be given with the results. The major aim of this research work is to detect malignant leukaemia at the earliest so that it would improve the chances of survival of the patients. This research work has combined two enhanced segmentation algorithms to carry out the segmentation process, and also it has been proved that it works well when compared with the conventional segmentation algorithms.

Keywords
Segmentation, Blood cell Images, Enhanced Algorithms.

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