Statistics of the smoothing parameter <i>h</i> across all images and classes.

مواد مشابهة

• State-of-the-art methods for X-ray image classification. Summarised in terms of the classifier, preprocessing, and features extraction used and their performance using the different datasets. CLAHE: Contrast limited adaptive histogram equalization. DT: Decision Tree, HOG: Histogram of Oriented Gradients, WMF: Weighted Median Filtering, LSTM: Long short-term memory. PWLGBP: Weighted Local Gabor Binary Pattern. ENNSA: Ensemble Neural Net Sentinel Algorithm. IGLCM: Insistent Grey Level Co-occurrence Matrix. DF-GAN: Deep Fusion Generative Adversarial Networks. The performance metrics are the True Positive Rate, recall or Sensitivity (TPR), the True Negative Rate, Negative Recall, or Specificity (TNR), and the Accuracy Rate (ACC).
  حسب: Antonio Quintero-Rincón (21087716)
  منشور في: (2025)
• Performace metrics average: TNR- True Positive Rate (or recall, or sensitivity), FNR- False Negative Rate (FNR), PPV- Positive Predictive Values, FDR- False Discovery Rate, AUC- Area Under Curve, ACC- Accuracy rate, and Total Cost.
  حسب: Antonio Quintero-Rincón (21087716)
  منشور في: (2025)
• Thresholds for all data with and without the tuning weight parameter (<i>ω</i>). Feature values for SVD (<i>ζ</i>) and the conditional index (<i>η</i>) are different and can serve with a threshold detection scheme.
  حسب: Antonio Quintero-Rincón (21087716)
  منشور في: (2025)
• Texture operators.
  حسب: Antonio Quintero-Rincón (21087716)
  منشور في: (2025)
• Partial dependency plots of singular values during testing, with and without the tuning weight <i>ω</i>: Class 0 (normal, blue dots), class 1 (COVID-19, red dots), class 2 (viral pneumonia, purple dots), and class 3 (lung opacity, yellow dots).
  حسب: Antonio Quintero-Rincón (21087716)
  منشور في: (2025)