Medical Image Retrieval Using Empirical Mode Decomposition with Deep Convolutional Neural Network

Content-based medical image retrieval (CBMIR) systems attempt to search medical image database to narrow the semantic gap in medical image analysis. The efficacy of high-level medical information representation using features is a major challenge in CBMIR systems. Features play a vital role in the a...

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Veröffentlicht in:	BioMed research international Jg. 2020; H. 2020; S. 1 - 12
Hauptverfasser:	Zhang, Shaomin, Zhou, Tao, Zhi, Lijia
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cairo, Egypt Hindawi Publishing Corporation 2020 Hindawi John Wiley & Sons, Inc
Schlagworte:	Artificial neural networks Classification Datasets Decomposition Deep learning Diagnostic imaging Digital imaging Empirical analysis Error analysis Health aspects Image analysis Image management Image processing Image retrieval Magnetic resonance imaging Medical imaging Medical technology Methods Neural networks Search process Semantics Subject specialists China
ISSN:	2314-6133, 2314-6141, 2314-6141
Online-Zugang:	Volltext
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