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Ultrasonography is one of the safest methods used as an effective diagnostic tool. The non-radioactive attribute makes it stand out in evaluating cancer treatment when the application of CT and MRI may have deteriorating effects. In this paper, for ultrasonic liver image analysis, approaches based on multiresolution fractal feature vector is explored to detect residual tumor tissue after the treatment...
This paper presents a new method to automatically grade pathological prostate images according to Gleason grading system. Two feature extraction methods were proposed based on fractal dimension to analyze the variations of intensity and texture complexity in images. Each image can be classified into appropriate grade by using Bayes classifier and k-Nearest-Neighbor (k-NN) classifier, respectively...
The classification of the uterine myoma and adenomyosis from their ultrasound images mainly depends on doctors' experience and lacks objective criterions. Here a novel classification method is proposed using the multiresolution analysis and the orientational fractal analysis. Firstly, texture features under various resolutions and orientational fractal features are obtained from ultrasound images...
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