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Models/InceptionV3 (limited)

InceptionV3 (limited)

Reported on 4 benchmarks across 2 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical8 results

Disease PredictiononOCT2017
Acc· 2019-10-13
93.4
best: 100 (UniNet)
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images arXiv:1910.05672
Disease PredictiononOCT2017
Sensitivity· 2019-10-13
96.6
best: 99.8 (OpticNet-71)
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images arXiv:1910.05672
Disease PredictiononOCT2017
Acc· 2019-10-13
93.4
best: 100 (UniNet)
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images arXiv:1910.05672
Disease PredictiononOCT2017
Sensitivity· 2019-10-13
96.6
best: 99.8 (OpticNet-71)
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images arXiv:1910.05672
Medical DiagnosisonOCT2017
Acc· 2019-10-13
93.4
best: 100 (UniNet)
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images arXiv:1910.05672
Medical DiagnosisonOCT2017
Sensitivity· 2019-10-13
96.6
best: 99.8 (OpticNet-71)
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images arXiv:1910.05672
Medical DiagnosisonOCT2017
Acc· 2019-10-13
93.4
best: 100 (UniNet)
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images arXiv:1910.05672
Medical DiagnosisonOCT2017
Sensitivity· 2019-10-13
96.6
best: 99.8 (OpticNet-71)
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images arXiv:1910.05672