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The content of data of medical images are quite rich and include a large amount of hidden knowledge and patterns which is difficult for users to discover. In order to solve this problem, this paper firstly clusters the region of interest (ROI) extracted from the medical images and marks these images using these clustered ROI. Then we present Diff_FP-growth algorithm with the guidance of medical domain...
Image segmentation plays an important role in both qualitative and quantitative analysis of medical ultrasound images. But the performance of the classical image-segmentation techniques degrades severely when they are applied to segment medical ultrasound images, for medical ultrasound images have features of poor contrast and strong speckle noise. Firstly, this article investigates and compiles some...
This paper presents an implementation of incremental tumor diagnosis algorithm (ITDA) on microarray data for improving diagnostic accuracy of tumor. A classifier (BP or KNN) was used in the algorithm to estimate confidences of a new unlabeled sample in different classes. When one confidence is higher than the threshold, the sample will be labeled; otherwise, the sample will be diagnosed by medical...
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