An Efficient Strategy for Blood Diseases Detection Based on Grey Wolf Optimization as Feature Selection and Machine Learning Techniques

An Efficient Strategy for Blood Diseases Detection Based on Grey Wolf Optimization as Feature Selection and Machine Learning Techniques

Acute Lymphoblastic Leukemia (ALL) is a cancer that infects the blood cells causing the development of lymphocytes in large numbers. Diagnostic tests are costly and very time-consuming. It is important to diagnose ALL using Peripheral Blood Smear (PBS) images, especially in the initial screening cas...

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Bibliographic Details
Main Authors: Nada M. Sallam, Ahmed I. Saleh, H. Arafat Ali, Mohamed M. Abdelsalam
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Applied Sciences
Subjects:
grey wolf optimization
acute lymphoblastic leukemia
support vector machine
random forest
naïve bayes
K nearest neighbor
Online Access:https://www.mdpi.com/2076-3417/12/21/10760

Internet

https://www.mdpi.com/2076-3417/12/21/10760

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