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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Autori principali:	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
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Frontiers Media S.A. 2023-12-01
Serie:	Frontiers in Oncology
Soggetti:	acute lymphoblastic leukemia bone marrow images medical image analysis deep learning convolutional neural networks diagnosis
Accesso online:	https://www.frontiersin.org/articles/10.3389/fonc.2023.1330977/full
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