Hybridization between deep learning algorithms and neutrosophic theory in medical image processing: A survey

Deep learning can successfully extract data features based on dealing greatly with nonlinear problems. Deep learning has the highest performance in medical image analysis and diagnosis. Additionally, deep learning performance is affected by insufficient medical image data such as fuzziness or incomp...

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Hlavní autoři:	N.N. Mostafa, K. Ahmed, I. El-Henawy
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	University of New Mexico 2021-08-01
Edice:	Neutrosophic Sets and Systems
Témata:	medical image neutrosophics deep learning denoising classification segmentation clustering image modalities
On-line přístup:	http://fs.unm.edu/NSS/HybridizationDeepLearning25.pdf
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