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Retinal OCT Disease Classification
벤치마크
Retinal OCT Disease Classification on Srinivasan2014
28개 결과 ·
⬇ CSV
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Acc
87.63
90.72
93.81
96.91
100
2015-12
2026-09
ResNet50-v1 — 94.92 (2015-12-10)
ResNet50-v1 — 94.92 (2015-12-10)
Lee et al. — 87.63 (2016-12-15)
Lee et al. — 87.63 (2016-12-15)
Xception — 99.36 (2017-07-01)
Xception — 99.36 (2017-07-01)
MobileNet-v2 — 97.46 (2018-01-13)
MobileNet-v2 — 97.46 (2018-01-13)
OpticNet-71 — 100.0 (2019-10-13)
Xception — 99.36 (2019-10-13)
MobileNet-v2 — 97.46 (2019-10-13)
Karri et al. — 96.0 (2019-10-13)
ResNet50-v1 — 94.92 (2019-10-13)
Awais et al. — 93.0 (2019-10-13)
Lee et al. — 87.63 (2019-10-13)
OpticNet-71 — 100.0 (2019-10-13)
Xception — 99.36 (2019-10-13)
MobileNet-v2 — 97.46 (2019-10-13)
Karri et al. — 96.0 (2019-10-13)
ResNet50-v1 — 94.92 (2019-10-13)
Awais et al. — 93.0 (2019-10-13)
Lee et al. — 87.63 (2019-10-13)
Joint-Attention-Network ResNet50-v1 — 100.0 (2020-05-16)
Joint-Attention-Network OpticNet-71 — 99.68 (2020-05-16)
Joint-Attention-Network MobileNet-v2 — 99.36 (2020-05-16)
Joint-Attention-Network ResNet50-v1 — 100.0 (2020-05-16)
Joint-Attention-Network OpticNet-71 — 99.68 (2020-05-16)
Joint-Attention-Network MobileNet-v2 — 99.36 (2020-05-16)
ResNet50-v1 — 94.92 (2015-12-10)
Xception — 99.36 (2017-07-01)
OpticNet-71 — 100.0 (2019-10-13)
2015-12-10 — ResNet50-v1: Acc 94.92
2017-07-01 — Xception: Acc 99.36
2019-10-13 — OpticNet-71: Acc 100.0
Rank
Model
Acc
Paper
Code
Year
1
OpticNet-71
100
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images
SharifAmit/OCT_Classification
·
SharifAmit/OpticNet-71
2019
1
Joint-Attention-Network ResNet50-v1
100
Improving Robustness using Joint Attention Network For Detecting Retinal Degeneration From Optical Coherence Tomography Images
SharifAmit/Robust_Joint_Attention
2020
3
Joint-Attention-Network OpticNet-71
99.68
Improving Robustness using Joint Attention Network For Detecting Retinal Degeneration From Optical Coherence Tomography Images
SharifAmit/Robust_Joint_Attention
2020
4
Xception
99.36
Xception: Deep Learning With Depthwise Separable Convolutions
PaddlePaddle/PaddleClas
·
keras-team/keras-applications
·
Mayurji/Image-Classification-PyTorch
·
+4
2017
4
Joint-Attention-Network MobileNet-v2
99.36
Improving Robustness using Joint Attention Network For Detecting Retinal Degeneration From Optical Coherence Tomography Images
SharifAmit/Robust_Joint_Attention
2020
4
Xception
99.36
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images
SharifAmit/OCT_Classification
·
SharifAmit/OpticNet-71
2019
7
MobileNet-v2
97.46
MobileNetV2: Inverted Residuals and Linear Bottlenecks
tensorflow/models
·
tensorflow/models
·
tensorflow/models
·
+156
2018
7
MobileNet-v2
97.46
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images
SharifAmit/OCT_Classification
·
SharifAmit/OpticNet-71
2019
9
Karri et al.
96
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images
SharifAmit/OCT_Classification
·
SharifAmit/OpticNet-71
2019
10
ResNet50-v1
94.92
Deep Residual Learning for Image Recognition
tensorflow/models
·
tensorflow/models
·
tensorflow/models
·
+481
2015
10
ResNet50-v1
94.92
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images
SharifAmit/OCT_Classification
·
SharifAmit/OpticNet-71
2019
12
Awais et al.
93
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images
SharifAmit/OCT_Classification
·
SharifAmit/OpticNet-71
2019
13
Lee et al.
87.63
Deep learning is effective for the classification of OCT images of normal versus Age-related Macular Degeneration
2016
13
Lee et al.
87.63
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images
SharifAmit/OCT_Classification
·
SharifAmit/OpticNet-71
2019
15
OpticNet-71
100
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images
SharifAmit/OCT_Classification
·
SharifAmit/OpticNet-71
2019
15
Joint-Attention-Network ResNet50-v1
100
Improving Robustness using Joint Attention Network For Detecting Retinal Degeneration From Optical Coherence Tomography Images
SharifAmit/Robust_Joint_Attention
2020
17
Joint-Attention-Network OpticNet-71
99.68
Improving Robustness using Joint Attention Network For Detecting Retinal Degeneration From Optical Coherence Tomography Images
SharifAmit/Robust_Joint_Attention
2020
18
Xception
99.36
Xception: Deep Learning With Depthwise Separable Convolutions
PaddlePaddle/PaddleClas
·
keras-team/keras-applications
·
Mayurji/Image-Classification-PyTorch
·
+4
2017
18
Joint-Attention-Network MobileNet-v2
99.36
Improving Robustness using Joint Attention Network For Detecting Retinal Degeneration From Optical Coherence Tomography Images
SharifAmit/Robust_Joint_Attention
2020
18
Xception
99.36
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images
SharifAmit/OCT_Classification
·
SharifAmit/OpticNet-71
2019
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