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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...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Proc SPIE Int Soc Opt Eng |
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| Κύριοι συγγραφείς: | , , , , , , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
2018
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| Θέματα: | |
| Διαθέσιμο Online: | 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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