166 citations · 338 across the 5 of their papers we have counts for
5 papers
A fully automated method for 3D individual tooth identification and segmentation in dental CBCT
Tae Jun Jang, Kang Cheol Kim, Hyun Cheol Cho +1
Accurate and automatic segmentation of three-dimensional (3D) individual teeth from cone-beam computerized tomography (CBCT) images is a challenging problem because of the difficul…
Framelet Pooling Aided Deep Learning Network : The Method to Process High Dimensional Medical Data
Chang Min Hyun, Kang Cheol Kim, Hyun Cheol Cho +2
Machine learning-based analysis of medical images often faces several hurdles, such as the lack of training data, the curse of dimensionality problem, and the generalization issues…
Automatic detection and segmentation of lumbar vertebra from X-ray images for compression fracture evaluation
Kang Cheol Kim, Hyun Cheol Cho, Tae Jun Jang +2
For compression fracture detection and evaluation, an automatic X-ray image segmentation technique that combines deep-learning and level-set methods is proposed. Automatic segmenta…
A learning-based method for solving ill-posed nonlinear inverse problems: a simulation study of Lung EIT
Jin Keun Seo, Kang Cheol Kim, Ariungerel Jargal +2
This paper proposes a new approach for solving ill-posed nonlinear inverse problems. For ease of explanation of the proposed approach, we use the example of lung electrical impedan…
Automatic evaluation of fetal head biometry from ultrasound images using machine learning
Hwa Pyung Kim, Sung Min Lee, Ja-Young Kwon +3
Ultrasound-based fetal biometric measurements, such as head circumference (HC) and biparietal diameter (BPD), are commonly used to evaluate the gestational age and diagnose fetal c…