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

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
Main Author: Mohammed Mansoor Alhammadi
Format: Article
Language:Arabic
Published: University of Information Technology and Communications 2024-12-01
Series:Iraqi Journal for Computers and Informatics
Subjects:
acute lymphoblastic leukemia, convolutional autoencoder, convolutional neural network, feature extraction, computer-aided diagnosis
Online Access:https://ijci.uoitc.edu.iq/index.php/ijci/article/view/502
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