Browsing Team B by Subject "Brain tumor dataset"

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Power-efficient analog hardware architecture of the learning vector quantization algorithm for brain tumor classification

Alimisis, Vassilis; Serlis, Emmanouil Anastasios; Papathanasiou, Andreas; Eleftheriou, Nikolaos P.; Sotiriadis, Paul P. (IEEE, 2024-11)

This study introduces a design methodology pertaining to analog hardware architecture for the implementation of the learning vector quantization (LVQ) algorithm. It consists of three main approaches that are separated based ...