A Framework for Early Detection of Acute Lymphoblastic Leukemia and Its Subtypes From Peripheral Blood Smear Images Using Deep Ensemble Learning Technique

A Framework for Early Detection of Acute Lymphoblastic Leukemia and Its Subtypes From Peripheral Blood Smear Images Using Deep Ensemble Learning Technique

Acute lymphoblastic leukemia (ALL), one of the prevalent types of carcinogenic disease, has been seen a deadly illness exposing numerous patients across the world to potential threats of lives. It impacts both adults and children providing a narrow range of chances of being cured if diagnosed at a l...

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Bibliographic Details
Main Authors: Sajida Perveen, Abdullah Alourani, Muhammad Shahbaz, M. Usman Ashraf, Isma Hamid
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Acute lymphoblastic leukemia (ALL)
image processing
deep neural network
deep ensemble learning
lymphocytic leukemia
peripheral blood smear images
Online Access:https://ieeexplore.ieee.org/document/10441810/
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https://ieeexplore.ieee.org/document/10441810/

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