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SOTA
Retinal Oct Disease Classification
Retinal Oct Disease Classification On
Retinal Oct Disease Classification On
評価指標
Acc
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
Columns
モデル名
Acc
Paper Title
Repository
Joint-Attention-Network OpticNet-71
99.68
Improving Robustness using Joint Attention Network For Detecting Retinal Degeneration From Optical Coherence Tomography Images
Karri et al.
96
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images
Lee et al.
87.63
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images
MobileNet-v2
97.46
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Joint-Attention-Network ResNet50-v1
100
Improving Robustness using Joint Attention Network For Detecting Retinal Degeneration From Optical Coherence Tomography Images
MobileNet-v2
97.46
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images
Xception
99.36
Xception: Deep Learning With Depthwise Separable Convolutions
Lee et al.
87.63
Deep learning is effective for the classification of OCT images of normal versus Age-related Macular Degeneration
-
ResNet50-v1
94.92
Deep Residual Learning for Image Recognition
OpticNet-71
100
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images
Joint-Attention-Network MobileNet-v2
99.36
Improving Robustness using Joint Attention Network For Detecting Retinal Degeneration From Optical Coherence Tomography Images
Awais et al.
93
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images
Xception
99.36
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images
ResNet50-v1
94.92
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images
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