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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書誌詳細

主要な著者:	David Benavente, Gustavo Gatica, Jesús González-Feliu
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2022-03-01
シリーズ:	Axioms
主題:	computer vision deep learning medical imaging convolutional neural nets chest X-rays image classification
オンライン･アクセス:	https://www.mdpi.com/2075-1680/11/3/115
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