GVAE

Reported on 5 benchmarks across 1 task · 1 paper · 4 SOTA

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

Medical5 results

Lung Nodule ClassificationonLIDC-IDRI
AUC· 2023-11-27
98
SOTA
Variational Autoencoders for Feature Exploration and Malignancy Prediction of Lung Lesions arXiv:2311.15719
Lung Nodule ClassificationonLIDC-IDRI
F1 Score· 2023-11-27
94
SOTA
Variational Autoencoders for Feature Exploration and Malignancy Prediction of Lung Lesions arXiv:2311.15719
Lung Nodule ClassificationonLIDC-IDRI
Precision· 2023-11-27
93
SOTA
Variational Autoencoders for Feature Exploration and Malignancy Prediction of Lung Lesions arXiv:2311.15719
Lung Nodule ClassificationonLIDC-IDRI
Recall/ Sensitivity· 2023-11-27
96
SOTA
Variational Autoencoders for Feature Exploration and Malignancy Prediction of Lung Lesions arXiv:2311.15719
Lung Nodule ClassificationonLIDC-IDRI
Accuracy· 2023-11-27
93.1
best: 94.11 (ProCAN)
Variational Autoencoders for Feature Exploration and Malignancy Prediction of Lung Lesions arXiv:2311.15719