Accurate and automatic segmentation of three-dimensional (3D) individual teeth from cone-beam computerized tomography (CBCT) images is a challenging problem because the difficulty in separating an tooth adjacent its surrounding alveolar bone. Thus, this paper proposes fully automated method identifying segmenting 3D dental CBCT images. The proposed addresses aforementioned by developing deep learning-based hierarchical multi-step model. First, it automatically generates upper lower jaws...

Obstetricians mainly use ultrasound imaging for fetal biometric measurements. However, such measurements are cumbersome. Hence, there is urgent need automatic estimation. Automated analysis of images complicated owing to the patient-specific, operator-dependent, and machine-specific characteristics images.This paper proposes a method biometry estimation from 2D data through several processes consisting specially designed convolutional neural network (CNN) U-Net each process. These machine...

Ultrasound-based fetal biometric measurements, such as head circumference (HC) and biparietal diameter (BPD), are commonly used to evaluate the gestational age diagnose central nervous system (CNS) pathology. Since manual measurements operator-dependent time-consuming, there have been numerous researches on automated methods. However, existing methods still not satisfactory in terms of accuracy reliability, owing difficulties dealing with various artifacts ultrasound images. This paper...

This paper proposes a new approach for solving ill-posed nonlinear inverse problems. For ease of explanation the proposed approach, we use example lung electrical impedance tomography (EIT), which is known to be and problem. Conventionally, penalty-based regularization methods have been used deal with However, experiences over last three decades shown methodological limitations in utilizing prior knowledge about tracking expected imaging features medial diagnosis. The method's paradigm...

In this paper, an automated and visually explainable system is proposed for a scoliosis assessment from spinal radiographs, which deals with the drawback of manual measurements, are known to be time-consuming, cumbersome, operator dependent. Deep learning techniques have been successfully applied in accurate extraction Cobb angle gold standard assessment. Such deep methods directly estimate without providing structural information spine can used diagnosis. Although conventional...

The effect of Sn (1, 3 and 5 mass%) addition on the precipitation behavior AZ91 alloy has been investigated in present study. is effective suppression discontinuous as well acceleration continuous precipitation. Mg2Sn particles at grain boundary effectively reduce nucleation sites for β precipitates, slow down movement boundary. remarkably enhances aging response AZ91. hardness increases steeply with start treatment, resulting significantly higher peak within shorter time. by solid solution...

The microstructural features of FeCoCrNi, FeCoCrNiAl and FeCoCrNiSi x (x=0, 5, 10, 15, 20) alloys have been investigated in the present study.The microstructure FeCoCrNi alloy changes dramatically with equiatomic addition Al.The fcc irregular shaped grain structure as-cast into bcc interconnected phase separation Al-Ni rich Cr-Fe phases alloy.The Si.With increasing amount Si, grains is maintained, but new containing higher Si forms at boundary.As increases, fraction Si-rich boundary increases.

For compression fracture detection and evaluation, an automatic X-ray image segmentation technique that combines deep-learning level-set methods is proposed. Automatic much more difficult for images than CT or MRI because they contain overlapping shadows of thoracoabdominal structures including lungs, bowel gases, other bony such as ribs. Additional difficulties include unclear object boundaries, the complex shape vertebra, inter-patient variability, variations in contrast. Accordingly, a...

The oxidation behavior of Ti44.5Cu44.5Zr7Be4 metallic glass has been investigated. oxide layer with a fully amorphous structure forms when heated up to the SCL temperature region, indicating that presence Be in improves thermal stability oxide. is stable even above crystallization onset temperature. thickness reaches ∼160 nm 773 K. grows both inward and outward directions, leaving Cu-enriched crystalline particles at middle section layer.

Machine learning-based analysis of medical images often faces several hurdles, such as the lack training data, curse dimensionality problem, and generalization issues. One main difficulties is that there exists computational cost problem in dealing with input data large size matrices which represent images. The purpose this paper to introduce a framelet-pooling aided deep learning method for mitigating bundle, caused by dimensionality. By transforming high dimensional into low components...

Amid the growing interest in Global Citizenship Education (GCE) with rise of international reputation Korea, Korean schools have been collaborating NGOs to implement GCE. This study aims explore characteristics GCE delivered by NGO lecturers, how they understand GCE, and limitations carrying out through a partnership between schools. conducted Focus Group Interview, we found three main points. First, lecturers understood global citizenship education as an that pursues ethics via utilization...