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Deep Neural Networks Revolutionize Sternum Sex Estimation in Turkey

9/29/2025

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Story summary
  • First to apply deep neural networks (DNN) to sternum CT sex estimation in Turkey.
  • It compares DNN with k-Nearest Neighbors (KNN) and Linear Discriminant Analysis (LDA).
  • DNN achieves AUC 0.937; LDA shows highest performance, not statistically different.
  • Limitations include a small dataset and lack of external validation.
  • Future work seeks diverse data and hyperparameter tuning; DNN offers automation for forensics.