Computer-Aided Diagnosis of Acute Lymphoblastic Leukemiaby Using a Novel CAE-CNN Framework

Acute lymphoblastic leukemia (ALL) is a main health problem throughout the world. Therefore, fast and exact diagnosis is the most crucial factor for providing efficient management and treatment methods. The conventional diagnostic tools, based on the morphological and cytochemical investigation of b...

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Bibliographic Details

Published in:	Iraqi journal for computers and informatics (Online) Vol. 50; no. 2; pp. 186 - 206
Main Author:	Mansoor Alhammadi, Mohammed
Format:	Journal Article
Language:	Arabic English
Published:	University of Information Technology and Communications 30.12.2024
Subjects:	acute lymphoblastic leukemia, convolutional autoencoder, convolutional neural network, feature extraction, computer-aided diagnosis
ISSN:	2313-190X, 2520-4912
Online Access:	Get full text
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