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Malignancy classification using simple deep learning method in LIDC-IDRI dataset.

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jsyoonDL/Malignancy-classification-in-LIDC-IDRI

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The code is based on

  • torch == '2.0.0'
  • timm == '0.6.12'
  • pylidc == '0.2.3'
  • torchmetrics == '0.9.3'
  • sklean == '1.0.2'
  • kornia == '0.6.8'

<ROC analysis>

Acc: 81.09, Balenced Acc.:75.21, spec.:0.8109, pre.:0.7964, rec.:0.8109, F1: 0.7957 ROC AUC: 0.7671, PR AUC: 0.8106

Confusion matrix

False True
False 557 41
True 108 82

Analysis #1

precision recall f1-score support
False 0.8376 0.9314 0.8820 598
True 0.6667 0.4316 0.5240 190
accuracy 0.8109 788
macro avg 0.7521 0.6815 0.7030 788
weighted avg 0.7964 0.8109 0.7957 788

Analysis #2

Sensitivity Specificity Precision ACC
False 0.931438 0.431579 0.837594 0.810914
True 0.431579 0.931438 0.666667 0.810914

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