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of 39
pro vyhledávání: '"Kim, Kang Cheol"'
Accurate and automatic segmentation of three-dimensional (3D) individual teeth from cone-beam computerized tomography (CBCT) images is a challenging problem because of the difficulty in separating an individual tooth from adjacent teeth and its surro
Externí odkaz:
http://arxiv.org/abs/2102.06060
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. One of the main difficulties is that there exists computational cost
Externí odkaz:
http://arxiv.org/abs/1907.10834
For compression fracture detection and evaluation, an automatic X-ray image segmentation technique that combines deep-learning and level-set methods is proposed. Automatic segmentation is much more difficult for X-ray images than for CT or MRI images
Externí odkaz:
http://arxiv.org/abs/1904.07624
Publikováno v:
SIAM J. Imaging Sci. 12 (3), 1275-1295, 2019
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 impedance tomography (EIT), which is known to be a nonlinear and ill-posed in
Externí odkaz:
http://arxiv.org/abs/1810.10112
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 central nervous system (CNS) pathology. Since manual measurements are o
Externí odkaz:
http://arxiv.org/abs/1808.06150
Publikováno v:
In Computer Methods and Programs in Biomedicine March 2021 200
Publikováno v:
In Corrosion Science October 2015 99:304-312
Publikováno v:
In Corrosion Science November 2014 88:209-214
Akademický článek
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Autor:
Kim, Kang Cheol, Lim, Ka Ram, Lee, Eun Sung, Kim, Won Tae, Gebert, Annett, Eckert, Jürgen, Kim, Do Hyang
Publikováno v:
In Corrosion Science December 2013 77:1-5