Sang-Kyoon Kim

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PURPOSE To evaluate the correlation between changes in fundus autofluorescence (AF) measured using 2 different sources (near-infrared fundus autofluorescence from melanin and short-wavelength fundus autofluorescence from lipofuscin) with changes in spectral-domain optical coherence tomography (SD OCT) and fluorescein angiography in resolved central serous(More)
This paper proposes an on-line Chinese character recognition method using Adaptive Resonance Theory (ART) based stroke classification. Strokes, primitive components of Chinese characters, are usually warped into a cursive form and classifying them is very difficult. To deal with such cursive strokes, we consider them as a recognition unit and automatically(More)
The intrusion detection system (IDS) generally uses the misuse detection model based on rules because this model has low false alarm rates. However, the rule based IDSs are not efficient for mutated attacks, because they need additional rules for the variations of the attacks. In this paper, we propose an intrusion detection system using the principal(More)
In this paper, we described breast tissue image analyses using texture features from Haar wavelet transformed images to classify breast lesion of ductal organ Benign, DCIS and CA. The approach for creating a classifier is composed of 2 steps: feature extraction and classification. Therefore, in the feature extraction step, we extracted texture features from(More)
PURPOSE To compare the internal diameter of the anterior chamber among three different imaging modalities: 35-MHz ultrasound biomicroscopy (UBM), Visante optical coherence tomography (OCT), and Pentacam, and to compare the internal diameters with white-to-white (WTW) distance measured by Orbscan. METHODS The internal horizontal anterior chamber diameter(More)