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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Vydané v:	Iraqi journal for computers and informatics (Online) Ročník 50; číslo 2; s. 186 - 206
Hlavný autor:	Mansoor Alhammadi, Mohammed
Médium:	Journal Article
Jazyk:	Arabic English
Vydavateľské údaje:	University of Information Technology and Communications 30.12.2024
Predmet:	acute lymphoblastic leukemia, convolutional autoencoder, convolutional neural network, feature extraction, computer-aided diagnosis
ISSN:	2313-190X, 2520-4912
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