OCT-based deep learning algorithm for the evaluation of treatment indication with anti-vascular endothelial growth factor medications
Prahs, Philipp, Radeck, Viola, Mayer, Christian, Cvetkov, Yordan, Cvetkova, Nadezhda, Helbig, Horst and Märker, David (2018) OCT-based deep learning algorithm for the evaluation of treatment indication with anti-vascular endothelial growth factor medications. Graefe's Archive for Clinical and Experimental Ophthalmology 256 (1), pp. 91-98.Date of publication of this fulltext: 28 Jul 2021 17:26
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| Item type | Article | ||||
| Journal or Publication Title | Graefe's Archive for Clinical and Experimental Ophthalmology | ||||
| Publisher: | Springer | ||||
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| Place of Publication: | NEW YORK | ||||
| Volume: | 256 | ||||
| Number of Issue or Book Chapter: | 1 | ||||
| Page Range: | pp. 91-98 | ||||
| Date | 2018 | ||||
| Institutions | Medicine > Lehrstuhl für Augenheilkunde | ||||
| Identification Number |
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| Keywords | ; Deep learning; Optical coherence tomography; Age-related macular degeneration; Diabetic retinopathy; Artificial intelligence; Computer vision; Computer-aided diagnosis | ||||
| Dewey Decimal Classification | 600 Technology > 610 Medical sciences Medicine | ||||
| Status | Published | ||||
| Refereed | Yes, this version has been refereed | ||||
| Created at the University of Regensburg | Yes | ||||
| Item ID | 47606 |
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