Deep learning methods for medical image fusion: A review

The image fusion methods based on deep learning has become a research hotspot in the field of computer vision in recent years. This paper reviews these methods from five aspects: Firstly, the principle and advantages of image fusion methods based on deep learning are expounded; Secondly, the image f...

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Veröffentlicht in:	Computers in biology and medicine Jg. 160; S. 106959
Hauptverfasser:	Zhou, Tao, Cheng, QianRu, Lu, HuiLing, Li, Qi, Zhang, XiangXiang, Qiu, Shi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Elsevier Ltd 01.06.2023 Elsevier Limited
Schlagworte:	Algorithms Artificial neural networks Coders Computer vision Convolutional neural network Datasets Deep Learning Encoder-decoder network Encoders-Decoders Feature extraction Generative adversarial network Generative adversarial networks Human error Image Processing, Computer-Assisted - methods Internal Medicine Machine learning Medical image fusion Medical imaging Neural networks Neural Networks, Computer Other Teaching methods Tomography Wavelet transforms Deep learning Medical image fusion Encoder-decoder network Convolutional neural network Generative adversarial network
ISSN:	0010-4825, 1879-0534, 1879-0534
Online-Zugang:	Volltext
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