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...
Main Authors: | David Benavente, Gustavo Gatica, Jesús González-Feliu |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-03-01
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Series: | Axioms |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-1680/11/3/115 |
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