Automatic Detection of White Blood Cancer From Bone Marrow Microscopic Images Using Convolutional Neural Networks

Automatic Detection of White Blood Cancer From Bone Marrow Microscopic Images Using Convolutional Neural Networks

Leukocytes, produced in the bone marrow, make up around one percent of all blood cells. Uncontrolled growth of these white blood cells leads to the birth of blood cancer. Out of the three different types of cancers, the proposed study provides a robust mechanism for the classification of Acute Lymph...

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Bibliographic Details
Main Authors: Deepika Kumar, Nikita Jain, Aayush Khurana, Sweta Mittal, Suresh Chandra Satapathy, Roman Senkerik, Jude D. Hemanth
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Acute lymphoblastic leukemia
classification algorithms
deep learning
convolutional neural networks
image processing
multiple myeloma
Online Access:https://ieeexplore.ieee.org/document/9149873/

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