Deep and Machine Learning for Acute Lymphoblastic Leukemia Diagnosis: A Comprehensive Review

The medical condition known as acute lymphoblastic leukemia (ALL) is characterized by an excess of immature lymphocyte production, and it can affect people across all age ranges. Detecting it at an early stage is extremely important to increase the chances of successful treatment. Conventional diagn...

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Veröffentlicht in:	Advances in distributed computing and artificial intelligence journal Jg. 13; S. e31420
Hauptverfasser:	Faiz, Mohammad, Gari Mounika, Bakkanarappa, Akbar, Mohd, Srivastava, Swapnita
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Salamanca Ediciones Universidad de Salamanca 01.01.2024
Schlagworte:	acute lymphoblastic leukemia Algorithms Artificial neural networks blood smear images Bone marrow Deep learning Diagnosis Human error Leukemia Lymphocytes Machine learning Support vector machines
ISSN:	2255-2863, 2255-2863
Online-Zugang:	Volltext
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