Prof. Jin Mo Goo Profile

Prof. Jin Mo Goo

at Seoul National Univ College of Medicine

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Author

Publications (5)

Proceedings Article | 21 March 2014 Paper

Automatic lobar segmentation for diseased lungs using an anatomy-based priority knowledge in low-dose CT images

Sang Joon Park, Jung Im Kim, Jin Mo Goo, Doohee Lee

Proceedings Volume 9034, 903430 (2014) https://doi.org/10.1117/12.2043353

KEYWORDS: Lung, Image segmentation, X-ray computed tomography, 3D image processing, Chronic obstructive pulmonary disease, Image acquisition, Image quality, Absorption, X-ray imaging, X-rays

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Proceedings Article | 23 February 2012 Paper

Automatic segmentation of ground-glass opacity nodule on chest CT images by histogram modeling and local contrast

Julip Jung, Helen Hong, Jin Mo Goo

Proceedings Volume 8315, 83152T (2012) https://doi.org/10.1117/12.911769

KEYWORDS: Image segmentation, Chest, Computed tomography, Solids, Opacity, Lung, Glasses, Anisotropic diffusion, Anisotropic filtering, Tissues

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Proceedings Article | 9 March 2011 Paper

Lung ventilation analysis using deformable registration in Xe-enhanced CT images

Julip Jung, Yeny Yim, Helen Hong, Jin Mo Goo, Eun-Ah Park

Proceedings Volume 7963, 79632X (2011) https://doi.org/10.1117/12.877891

KEYWORDS: Lung, Signal attenuation, Image registration, Xenon, Computed tomography, Image segmentation, Chronic obstructive pulmonary disease, Visual analytics, Visualization, Image processing algorithms and systems

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Proceedings Article | 9 March 2010 Paper

Automated volumetric segmentation method for computerizeddiagnosis of pure nodular ground-glass opacity in high-resolution CT

Wooram Son, Sang Joon Park, Chang Min Park, Jin Mo Goo, Jong Hyo Kim

Proceedings Volume 7624, 76241P (2010) https://doi.org/10.1117/12.844108

KEYWORDS: Image segmentation, Opacity, Lung, Computed tomography, Tissues, Computer aided diagnosis and therapy, Imaging systems, Solid modeling, Databases, Reconstruction algorithms

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Proceedings Article | 18 March 2008 Paper

Accurate measurement of respiratory airway wall thickness in CT images using a signal restoration technique

Sang Joon Park, Tae Jung Kim, Kwang Gi Kim, Sang Ho Lee, Jin Mo Goo, Jong Hyo Kim

Proceedings Volume 6913, 691336 (2008) https://doi.org/10.1117/12.771038

KEYWORDS: Deconvolution, Computed tomography, Error analysis, Point spread functions, 3D metrology, Image segmentation, Radiology, Medicine, Image analysis, Chronic obstructive pulmonary disease

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