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Models/DenseNet-169

DenseNet-169

Reported on 12 benchmarks across 4 tasks · 2 papers

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

Medical5 results

  • COVID-19 DiagnosisonCOVIDx CXR-3
    Per-Class Accuracy· 2022-11-23
    98.15
    best: 98.25 (SS-CXR)
    SPCXR: Self-supervised Pretraining using Chest X-rays Towards a Domain Specific Foundation ModelarXiv:2211.12944
  • Medical Image ClassificationonNCT-CRC-HE-100K
    Accuracy (%)· 2016-08-25
    94.41
    best: 95.59 (Efficientnet-b0)
    Densely Connected Convolutional NetworksarXiv:1608.06993
  • Medical Image ClassificationonNCT-CRC-HE-100K
    F1-Score· 2016-08-25
    96.9
    best: 97.48 (Efficientnet-b0)
    Densely Connected Convolutional NetworksarXiv:1608.06993
  • Medical Image ClassificationonNCT-CRC-HE-100K
    Precision· 2016-08-25
    99.87
    best: 100 (ResNet-50)
    Densely Connected Convolutional NetworksarXiv:1608.06993
  • Medical Image ClassificationonNCT-CRC-HE-100K
    Specificity· 2016-08-25
    99.3
    best: 99.45 (Efficientnet-b0)
    Densely Connected Convolutional NetworksarXiv:1608.06993

Methodology4 results

  • ClassificationonNCT-CRC-HE-100K
    Accuracy (%)· 2016-08-25
    94.41
    best: 95.59 (Efficientnet-b0)
    Densely Connected Convolutional NetworksarXiv:1608.06993
  • ClassificationonNCT-CRC-HE-100K
    F1-Score· 2016-08-25
    96.9
    best: 97.48 (Efficientnet-b0)
    Densely Connected Convolutional NetworksarXiv:1608.06993
  • ClassificationonNCT-CRC-HE-100K
    Precision· 2016-08-25
    99.87
    best: 100 (ResNet-50)
    Densely Connected Convolutional NetworksarXiv:1608.06993
  • ClassificationonNCT-CRC-HE-100K
    Specificity· 2016-08-25
    99.3
    best: 99.45 (Efficientnet-b0)
    Densely Connected Convolutional NetworksarXiv:1608.06993

Computer Vision3 results

  • Image ClassificationonGasHisSDB
    Accuracy· 2016-08-25
    96.9
    best: 98.74 (CoAtNet-1)
    Densely Connected Convolutional NetworksarXiv:1608.06993
  • Image ClassificationonGasHisSDB
    F1-Score· 2016-08-25
    98.38
    best: 99.38 (CoAtNet-1)
    Densely Connected Convolutional NetworksarXiv:1608.06993
  • Image ClassificationonGasHisSDB
    Precision· 2016-08-25
    99.91
    best: 99.97 (CoAtNet-1)
    Densely Connected Convolutional NetworksarXiv:1608.06993