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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 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)
In this paper, a medical imaging conference system is presented, which is carried out in the Web environment using the distributed object technique, CORBA. Independent of platforms and different developing languages, the CORBA-based medical imaging conference system is very powerful for system development, extension and maintenance. With this Web(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)
This paper proposes an efficient method for on-line recognition of cursive Korean characters. Since Korean characters are composed of two or three graphemes in two dimensions, strokes, primitive components of the characters, are usually warped into a cursive form. To classify automatically such cursive strokes, an Adaptive Resonance Theory (ART) neural(More)