Classification of Atypical White Blood Cells in Acute Myeloid Leukemia Using a Two-Stage Hybrid Model Based on Deep Convolutional Autoencoder and Deep Convolutional Neural Network

Classification of Atypical White Blood Cells in Acute Myeloid Leukemia Using a Two-Stage Hybrid Model Based on Deep Convolutional Autoencoder and Deep Convolutional Neural Network

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Recent advancements in artificial intelligence (AI) have led to numerous medical discoveries. The field of computer vision (CV) for medical diagnosis has received particular attention. Using images of peripheral blood (PB) smears, CV has been utilized in hematology to detect acute leukemia (AL). Sig...

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Bibliographic Details
Main Authors: Tusneem A. Elhassan, Mohd Shafry Mohd Rahim, Mohd Hashim Siti Zaiton, Tan Tian Swee, Taqwa Ahmed Alhaj, Abdulalem Ali, Mahmoud Aljurf
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Diagnostics
Subjects:
acute myeloid leukemia
atypical white blood cells
autoencoder
CNN
augmentation
Online Access:https://www.mdpi.com/2075-4418/13/2/196

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https://www.mdpi.com/2075-4418/13/2/196

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