Multiclass leukemia cell classification using hybrid deep learning and machine learning with CNN-based feature extraction

Multiclass leukemia cell classification using hybrid deep learning and machine learning with CNN-based feature extraction

Abstract Leukemia is the most prevalent form of blood cancer, affecting individuals across all age groups. Early and accurate diagnosis is crucial for effective treatment and improved clinical outcomes. Peripheral blood smear analysis, a key non-invasive diagnostic tool, often suffers from subjectiv...

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Bibliographic Details
Main Authors: Sazzli Kasim, Sorayya Malek, JunJie Tang, Xue Ning Kiew, Song Cheen, Bryan Liew, Norashikin Saidon, Raja Ezman, Raja Shariff
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Leukemia
Deep learning
CNN
Acute lymphoblastic leukemia image database
Munich AML morphology dataset
Online Access:https://doi.org/10.1038/s41598-025-05585-x
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https://doi.org/10.1038/s41598-025-05585-x

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