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SOTA
视网膜OCT疾病分类
Retinal Oct Disease Classification On
Retinal Oct Disease Classification On
评估指标
Acc
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
Acc
Paper Title
Repository
Joint-Attention-Network ResNet50-v1
100
Improving Robustness using Joint Attention Network For Detecting Retinal Degeneration From Optical Coherence Tomography Images
OpticNet-71
100
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images
Joint-Attention-Network OpticNet-71
99.68
Improving Robustness using Joint Attention Network For Detecting Retinal Degeneration From Optical Coherence Tomography Images
Xception
99.36
Xception: Deep Learning With Depthwise Separable Convolutions
-
Joint-Attention-Network MobileNet-v2
99.36
Improving Robustness using Joint Attention Network For Detecting Retinal Degeneration From Optical Coherence Tomography Images
Xception
99.36
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
MobileNet-v2
97.46
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images
Karri et al.
96
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images
ResNet50-v1
94.92
Deep Residual Learning for Image Recognition
ResNet50-v1
94.92
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images
Awais et al.
93
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
Lee et al.
87.63
Deep learning is effective for the classification of OCT images of normal versus Age-related Macular Degeneration
-
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