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Effect of various binning methods and ROI sizes on the accuracy of the automatic classification system for differentiation between diffuse infiltrative lung diseases on the basis of texture features at HRCT.

N. Kim, J. Seo, Y. Sung, B. Park, Y. Lee, S. Park, Y. Lee, and S. Kang. Medical Imaging: Image Processing, volume 6914 of SPIE Proceedings, page 69143N. SPIE, (2008)

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Valdur Joonso

Maria Joonso

Beom Chu

Eunyoung Seo

Paek Pyung Seon

Other publications of authors with the same name

Automatic Left and Right Lung Separation Using Free-Formed Surface Fitting on Volumetric CT.Y. Lee, M. Lee, N. Kim, J. Seo, and J. Park. J. Digital Imaging, 27 (4): 538-547 (2014)Performance testing of several classifiers for differentiating obstructive lung diseases based on texture analysis at high-resolution computerized tomography (HRCT).Y. Lee, J. Seo, J. Lee, S. Kim, N. Kim, and S. Kang. Comput. Methods Programs Biomed., 93 (2): 206-215 (2009)Improvement of fully automated airway segmentation on volumetric computed tomographic images using a 2.5 dimensional convolutional neural net.J. Yun, J. Park, D. Yu, J. Yi, M. Lee, H. Park, J. Lee, J. Seo, and N. Kim. Medical Image Anal., (2019)Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantification.S. Park, G. Kim, Y. Oh, J. Seo, S. Lee, J. Kim, S. Moon, J. Lim, and J. Ye. CoRR, (2021)CT kernel conversions using convolutional neural net for super-resolution with simplified squeeze-and-excitation blocks and progressive learning among smooth and sharp kernels.D. in Eun, I. Woo, B. Park, N. Kim, S. Lee, and J. Seo. Comput. Methods Programs Biomed., (2020)Effect of various binning methods and ROI sizes on the accuracy of the automatic classification system for differentiation between diffuse infiltrative lung diseases on the basis of texture features at HRCT.N. Kim, J. Seo, Y. Sung, B. Park, Y. Lee, S. Park, Y. Lee, and S. Kang. Medical Imaging: Image Processing, volume 6914 of SPIE Proceedings, page 69143N. SPIE, (2008)Comparison of Shallow and Deep Learning Methods on Classifying the Regional Pattern of Diffuse Lung Disease.G. Kim, K. Jung, Y. Lee, H. Kim, N. Kim, S. Jun, J. Seo, and D. Lynch. J. Digital Imaging, 31 (4): 415-424 (2018)An automatic method for fast and accurate liver segmentation in CT images using a shape detection level set method.J. Lee, N. Kim, H. Lee, J. Seo, H. Won, Y. Shin, and Y. Shin. Medical Imaging: Image Processing, volume 6512 of SPIE Proceedings, page 65122V. SPIE, (2007)Fast and efficient lung disease classification using hierarchical one-against-all support vector machine and cost-sensitive feature selection.Y. Chang, N. Kim, Y. Lee, J. Lim, J. Seo, and Y. Lee. Comput. Biol. Medicine, 42 (12): 1157-1164 (2012)Corrigendum to "Fast and efficient lung disease classification using hierarchical one-against-all support vector machine and cost-sensitive feature selection" Comput. Biol. Med 42 (2012) 1157-1164.Y. Lee, Y. Chang, N. Kim, J. Lim, J. Seo, and Y. Lee. Comput. Biol. Medicine, 43 (8): 1075 (2013)

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Disambiguation of "Seo, Joon Beom"