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Models/InceptionV3

InceptionV3

Reported on 6 benchmarks across 4 tasks · 2 papers · 2 SOTA

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

Medical9 results

Medical Image ClassificationonPCOS Classification
1:1 Accuracy· 2024-12-30
90.2
SOTA
Leveraging AI for Automatic Classification of PCOS Using Ultrasound Imaging arXiv:2501.01984
Disease PredictiononOCT2017
Acc· 2019-10-13
96.6
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
97.8
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
96.6
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
97.8
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
96.6
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
97.8
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
96.6
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
97.8
best: 99.8 (OpticNet-71)
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images arXiv:1910.05672

Methodology1 result

ClassificationonPCOS Classification
1:1 Accuracy· 2024-12-30
90.2
SOTA
Leveraging AI for Automatic Classification of PCOS Using Ultrasound Imaging arXiv:2501.01984