High-resolution CT Image Retrieval Using Sparse Convolutional Neural Network

We propose a high-resolution CT image retrieval method based on sparse convolutional neural network. The proposed framework is used to train the end-to-end mapping from low-resolution to high-resolution images. The patch-wise feature of low-resolution CT is extracted and sparsely represented by a co...

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Vydáno v:Proc SPIE Int Soc Opt Eng
Hlavní autoři: Lei, Yang, Xu, Dong, Zhou, Zhengyang, Higgins, Kristin, Dong, Xue, Liu, Tian, Shim, Hyunsuk, Mao, Hui, Curran, Walter J., Yang, Xiaofeng
Médium: Artigo
Jazyk:Inglês
Vydáno: 2018
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Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6711608/
https://ncbi.nlm.nih.gov/pubmed/31456601
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/12.2292891
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