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Comparative study of deep learning models for optical coherence tomography angiography
Optical coherence tomography angiography (OCTA) is a promising imaging modality for microvasculature studies. Meanwhile, deep learning has achieved rapid development in image-to-image translation tasks. Some studies have proposed applying deep learning models to OCTA reconstruction and have obtained...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Biomed Opt Express |
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| Κύριοι συγγραφείς: | , , , , , , , , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
Optical Society of America
2020
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7075619/ https://ncbi.nlm.nih.gov/pubmed/32206430 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.387807 |
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