Comparing Handcrafted Radiomics Versus Latent Deep Learning Features of Admission Head CT for Hemorrhagic Stroke Outcome Prediction.

In addition, the combination of latent deep features from segmentation and the autoencoder showed a trend towards higher accuracy than radiomics, suggesting that they may potentially be substitutes for handcrafted features.

also in 53,322 other papers

Otherwise, the higher AUCs did not reach statistical significance.

also in 111,027 other papers