Graph-Based Multi-Surface Segmentation of OCT Data Using Trained Hard and Soft Constraints
Optical coherence tomography (OCT) is a well-established image modality in ophthalmology and used daily in the clinic. Automatic evaluation of such datasets requires an accurate segmentation of the retinal cell layers. However, due to the naturally low signal to noise ratio and the resulting bad ima...
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Veröffentlicht in: | IEEE transactions on medical imaging 2013-03, Vol.32 (3), p.531-543 |
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