Accurate ocular disorder classification and estimation of cornea depth and morphological changes depends on clear imaging of the affected structures. Ophthalmologists typically employ Optical Coherence Tomography (OCT...
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ISBN:
(纸本)9781510650770;9781510650763
Accurate ocular disorder classification and estimation of cornea depth and morphological changes depends on clear imaging of the affected structures. Ophthalmologists typically employ Optical Coherence Tomography (OCT) to help diagnose these conditions. This paper presents a new method called alphameantrimlocalbinary Pattern (AMT-LPB) for automated texture classification of specific macular disease detected on OCT images of the retinal membrane. The performance of the proposed method achieved an overall accuracy of 99% using 10-fold cross-validation on the Duke University dataset [9].
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