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Description
The entities included are Spitz nevi and atypical Spitz tumors (AST), Reed nevus, dysplastic nevus, cellular blue nevus (CBN), deep penetrating nevus, combined nevus, recurrent nevus, irritated nevus, congenital pattern nevus, acral nevus, and nevi of special sites

Deep learning convolutional neural networks (CNNs) have improved ML's melanoma screening performance even further, outperforming some dermatologists [59]

D.SteinkeI.BloemerJ.RameshS.KariharanT.et al (2020)

Combined with FLIM phasor and ensemble machine-learning analysis, our Nile Red 2p-FLIM approach overcomes the limitations of techniques that rely on sample fixation and retains the advantages of microscopic techniques in preserving tissue and sub-cellular anatomy while providing a rigorous characterization of lipid particle sub-types
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A user might notice that a properly rated pack still holds near its nominal voltage after 50 cycles, while an overrated pack (or under-specced pack) shows noticeable voltage sag or capacity loss