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3D-DCNN Classification of Retinal Diseases Using Artificial Intelligence Deep Patterns Generated from 3D-OCT Hyperspectral Images

2022-12-06

Abstract excerpt

<title>Abstract</title> <p>The automatic and exact classification of 3D Optical Coherence Tomography (3D-OCT) images is crucial for retinal machine diagnostics. We propose a novel hybrid computer-aided 3D-OCT analytical approach (HCAD3D-OCT) for discriminating Diabetic Macular Edema (DME), Choroidal Neovascularization (CNV), and drusen illnesses from normal Optical Coherence Tomography (OCT) imaging. The proposed...

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Literature Corpus work
8c4b2774-9816-5bf9-ae30-35f76bd641f0
DOI
10.21203/rs.3.rs-2329240/v1
Open publication

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3D-DCNN Classification of Retinal Diseases Using Artificial Intelligence Deep Patterns Generated from 3D-OCT Hyperspectral ImagesDOI 10.21203/rs.3.rs-2329240/v1
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