21 citations · 25 across the 2 of their papers we have counts for
2 papers
eess.IV2019★ 21 cited
Deep Learning based Cephalometric Landmark Identification using Landmark-dependent Multi-scale Patches
Chonho Lee, Chihiro Tanikawa, Jae-Yeon Lim +1
A deep neural network based cephalometric landmark identification model is proposed. Two neural networks, named patch classification and point estimation, are trained by multi-scal…
cs.CL2019★ 4 cited
Using Natural Language Processing to Develop an Automated Orthodontic Diagnostic System
Tomoyuki Kajiwara, Chihiro Tanikawa, Yuujin Shimizu +3
We work on the task of automatically designing a treatment plan from the findings included in the medical certificate written by the dentist. To develop an artificial intelligence…