作者: Yuma Miki , Chisako Muramatsu , Tatsuro Hayashi , Xiangrong Zhou , Takeshi Hara
DOI: 10.1016/J.COMPBIOMED.2016.11.003
关键词: Pattern recognition 、 Transformation (function) 、 Convolutional neural network 、 Test case 、 Convolution 、 Artificial intelligence 、 Computer science 、 Segmentation 、 Network architecture 、 Forensic identification 、 Chart 、 Dentistry
摘要: … For both the training and test cases, the smallest bounding box enclosing each tooth was manually placed on the CT volume. From the bounding box, all axial slices excluding the upper …