Core Technologies in KAVILAB

Deep Learning-based Segmentation

DL-based deep learning model for automatically segmenting fractured fragments from CT images.

Hyeonjoo Kim, et al. Scientific Reports 13.1 (2023): 20431.

Deep Learning-based Object Detection

DL-based object detection model finds the fractured region and provides a guide for the location of the orthopedic implant.

Young-Dae Jeon, et al. Diagnostics 14.1 (2023): 11.

Monte Carlo Transformation

The reduction of the fractured fragment using Monte Carlo simulation which can randomly reset to the physical states of an object.

Young-Dae Jeon, et al. Submitted to Journal of Shoulder and Elbow Surgery

Deep Learning-based Decision, Classification

Convolutional Neural Network which we proposed provides useful information and assistance to make a decision for the diagnosis, planning, and surgical treatment.

Ki-Bong park, et al. Submitted to Journal of Bone and Joint Surgery

Medical Image Processing

3D Imaging technology using GPU acceleration quickly provides high-quality image reconstruction with strong intuition.

Hyeonjoo Kim, et al. Scientific Reports 13.1 (2023): 20431.

3D Modeling and 3D Printing

The technology of 3D CAD/CAM realizes the patient-specific instruments as well as the several personalized implants.

Woo-Lam Jo, et al. Scientific Reports 13.1 (2023): 10542.