Deep learning enhances acute lymphoblastic leukemia diagnosis and classification using bone marrow images

Deep learning enhances acute lymphoblastic leukemia diagnosis and classification using bone marrow images

Acute lymphoblastic leukemia (ALL) poses a significant health challenge, particularly in pediatric cases, requiring precise and rapid diagnostic approaches. This comprehensive review explores the transformative capacity of deep learning (DL) in enhancing ALL diagnosis and classification, focusing on...

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Bibliographic Details
Main Authors: Basel Elsayed, Mohamed Elhadary, Raghad Mohamed Elshoeibi, Amgad Mohamed Elshoeibi, Ahmed Badr, Omar Metwally, Raghad Alaa ElSherif, Mohamed Elsayed Salem, Fatima Khadadah, Awni Alshurafa, Deena Mudawi, Mohamed Yassin
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-12-01
Series:Frontiers in Oncology
Subjects:
acute lymphoblastic leukemia
bone marrow images
medical image analysis
deep learning
convolutional neural networks
diagnosis
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1330977/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2023.1330977/full

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