Sex estimation of the pelvis by deep learning of two-dimensional depth images generated from homologous models of three-dimensional computed tomography images
Mamiko Fukuta(Nagoya City University), Yasuhiro Aoki(Tokyo Medical Center), Chiaki Kato(Nagoya City University), Sanae Kanno(Nagoya City University), Hitoshi Biwasaka(Iwate Medical University), Akihito Usui(Tohoku University), Hideaki Kato(Nagoya City University), Tetsuya Horita(Nagoya City University)
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