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Balanced Medical Image Classification with Transfer Learning and Convolutional Neural Networks

This paper aims to propose a tool for image classification in medical diagnosis decision support, in a context where computational power is limited and then specific, high-speed computing infrastructures cannot be used (mainly for economic and energy consuming reasons). The proposed method combines...

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Bibliografische gegevens
Hoofdauteurs: David Benavente, Gustavo Gatica, Jesús González-Feliu
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2022-03-01
Reeks:Axioms
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Online toegang:https://www.mdpi.com/2075-1680/11/3/115
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