Showing 1 - 3 results of 3 for search 'Sanae Kanno', query time: 0.03s
Refine Results
-
1
-
2
-
3
Sex estimation of the pelvis by deep learning of two-dimensional depth images generated from homologous models of three-dimensional computed tomography images by Mamiko Fukuta, Chiaki Kato, Hitoshi Biwasaka, Akihito Usui, Tetsuya Horita, Sanae Kanno, Hideaki Kato, Yasuhiro Aoki
Published 2020-12-01
Article