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Medical Image Retrieval and Classification is very important in Computer-Aided Diagnosis. Feature extraction is one of the most important techniques in content based image retrieval and classification. How to extract low-level features which reflect high-level semantics of an image is crucial for medical image retrieval and classification. In allusion to this issue, there proposed a method using edge...
The objective of medical image retrieval system is to provide a tool for radiologists to retrieve the images similar to query image in content. Classification is an important part in retrieval system. This paper proposed a meticulous classification of MR-brain images using support vector machine (SVM). We used both texture and shape feature to express images, and then applied statistical association...
A moment-based approach is proposed for texture analysis of medical images. The neighborhood of texture pixel is calculated by moments for texture feature extraction. After verified on Brodatz textures, the moment-based texture analysis method is applied on CT liver scan classification and prostate ultrasound segmentation. A support vector machine and a multi-channel active contour model are used...
The tongue diagnosis is an important diagnostic method in Traditional Chinese Medicine (TCM). However, most experience of tongue diagnosis depends on the subjective analysis of the examiners. In this paper, we develop a prototype of a novel computerized system for tongue diagnosis (CSTD). The system includes Image Acquisition Module, Image Processing Module, Tongue Image Database and Tongue Diagnosis...
The tongue diagnosis is an important diagnostic method in traditional chinese medicine (TCM). In this paper, we present a novel computerized tongue inspection method based on support vector machine (SVM). First, two kinds of quantitative features, chromatic and textural measures, are extracted from tongue images by using popular image processing techniques. Then, support vector machine and Bayesian...
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