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Based on multiple kernel learning (MKL) support vector machine and decision tree combined strategy, a multi-class classification method is proposed to classify lower limb motions using electromyography (EMG) signals. According to the framework of multiple kernel learning, the MKL-based multi-classifier is constructed using binary tree decomposition method. Four-channel surface EMG signals are firstly...
With the rapidly growing use of digital images in medical archival and communication, image compression technology, especially diagnosis lossless compression technology, plays a more and more important role for medical applications. In this thesis, a novel diagnosis loseless compression algorithm is presented for digital mammography. The mammogram is divided into breast region, pectoral muscle and...
In this paper, an algorithm for texture analysis of clustered calcification based on statistical texture models is proposed. The prior knowledge of both normal and lesion training samples are incorporated into statistical texture models separately. Specifically, beside texture analysis of the lesion tissues, and the resultant statistical parameters can also be used for unknown sample representation...
Breast cancer has become one of the most dangerous tumors for middle-aged and older women in China recently. Mammography is its most reliable detection method in the clinic, and computer-aided diagnosis (CAD) could assist the radiologists in reading the mammograms. In this paper, a new algorithm was proposed to estimate the skin-line of the breast automatically, which could be divided into four steps...
This paper proposes an integer-to-integer shape adaptive discrete wavelet transform(ISA-DWT) coding scheme for CT(computed tomography) image. The scheme consists of (1) extraction of shape information of the foreground of CT image; (2) integer-to-integer shape adaptive discrete wavelet transform; (3) the modified SPIHT algorithm. In CT image, the foreground contains useful clinical information and...
Breast cancer has become one of the most dangerous carcinomas for middle-aged and older women in China recently. Mammography is its most reliable detection method in the clinic, and computer-aided diagnosis (CAD) could assist the radiologists in reading the mammograms. In this paper, a new algorithm based on two ANNs (artificial neural networks), was proposed to detect the masses automatically. It...
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