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retinal-oct-disease-classification-on

Disease PredictionRetinal OCT Disease Classification
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PaperCodeAccModelNameReleaseDate
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images✓ Link100OpticNet-712019-10-13
Improving Robustness using Joint Attention Network For Detecting Retinal Degeneration From Optical Coherence Tomography Images✓ Link100Joint-Attention-Network ResNet50-v12020-05-16
Improving Robustness using Joint Attention Network For Detecting Retinal Degeneration From Optical Coherence Tomography Images✓ Link99.68Joint-Attention-Network OpticNet-712020-05-16
Xception: Deep Learning With Depthwise Separable Convolutions✓ Link99.36Xception2017-07-01
Improving Robustness using Joint Attention Network For Detecting Retinal Degeneration From Optical Coherence Tomography Images✓ Link99.36Joint-Attention-Network MobileNet-v22020-05-16
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images✓ Link99.36Xception2019-10-13
MobileNetV2: Inverted Residuals and Linear Bottlenecks✓ Link97.46MobileNet-v22018-01-13
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images✓ Link97.46MobileNet-v22019-10-13
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images✓ Link96Karri et al.2019-10-13
Deep Residual Learning for Image Recognition✓ Link94.92ResNet50-v12015-12-10
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images✓ Link94.92ResNet50-v12019-10-13
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images✓ Link93Awais et al.2019-10-13
Deep learning is effective for the classification of OCT images of normal versus Age-related Macular Degeneration87.63Lee et al.2016-12-15
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images✓ Link87.63Lee et al.2019-10-13
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