Comparison of quantitative parameters and radiomic features as inputs into machine learning models to predict the Gleason score of prostate cancer lesions
Titel:
Comparison of quantitative parameters and radiomic features as inputs into machine learning models to predict the Gleason score of prostate cancer lesions
Auteur:
Nai, Ying-Hwey Cheong, Dennis Lai Hong Roy, Sharmili Kok, Trina Stephenson, Mary C. Schaefferkoetter, Josh Totman, John J. Conti, Maurizio Eriksson, Lars Robins, Edward G. Wang, Ziting Chua, Wynne Yuru Ang, Bertrand Wei Leng Singha, Arvind Kumar Thamboo, Thomas Paulraj Chiong, Edmund Reilhac, Anthonin