Acute Leukemia Diagnosis Based on Images of Lymphocytes and Monocytes Using Type-II Fuzzy Deep Network

A cancer diagnosis is one of the most difficult medical challenges. Leukemia is a type of cancer that affects the bone marrow and/or blood and accounts for approximately 8% of all cancers. Understanding the epidemiology and trends of leukemia is critical for planning. Specialists diagnose leukemia u...

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Veröffentlicht in:	Electronics (Basel) 2023-03, Vol.12 (5), p.1116
Hauptverfasser:	Ansari, Sanam, Navin, Ahmad Habibizad, Babazadeh Sangar, Amin, Vaez Gharamaleki, Jalil, Danishvar, Sebelan
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Acute leukemia Algorithms Blood Bone marrow Cancer Cancer therapies Classification Computer-aided medical diagnosis Diagnosis Disease Epidemiology Feature extraction Health aspects Hydrocarbons Image processing Leukemia Lymphocytes Machine learning Medical imaging Methods Monocytes Morphology Neural networks Radiation Stem cells Tumors
Online-Zugang:	Volltext
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