Automatic diagnosis of macular diseases from OCT volume based on its two-dimensional feature map and convolutional neural network with attention mechanism
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DOI: 10.1117/1.jbo.25.9.096004
Abstract: Abstract. Significance: Automatic and accurate classification of three-dimensional (3-D) retinal optical coherence tomography (OCT) images is essential for assisting ophthalmologist in the diagnosis and grading of macular diseases. Therefore, more effective OCT volume classification for… read more here.
Keywords: feature map; volume; oct volume; macular diseases ... See more keywords