This study demonstrates that deep feature sets highly depend on the choices regarding the extraction from the pretrained deep network. (Aydin Demircioğlu) #InsightsIntoImaging #Radiomics 🔗 https://t.co/AnuxiSSsEh https://t.co/YQsOByYGvX
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Extraction of deep features entails several decisions influencing the predictive performance. Models built with pretrained deep features did not outperform generic models. Correlations between pretrained deep and generic feature sets were rather moderate
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Demircioğlu, A. Predictive performance of radiomic models based on features extracted from pretrained deep networks. Insights Imaging 13, 187 (2022). https://t.co/Imn1Kz5ux1 https://t.co/ZsWzf7sorU
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Predictive performance of radiomic models based on features extracted from pretrained deep networks. #InsightsImaging https://t.co/3fXQVMq9os