Self-supervised patient-specific features learning for OCT image classification.
Deep learning's great success in image classification is heavily reliant on large-scale annotated datasets. However, obtaining labels for optical coherence tomography (OCT) data requires the significant effort of professional ophthalmologists, which hinders the application of deep learning in OCT im...
| Published in: | Medical & Biological Engineering & Computing Vol. 60; no. 10; pp. 2851 - 2864 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Published: |
Springer Nature
Oct2022
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| Online Access: | View this record in EBSCOhost |