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To solve the problem that the Juxta-Vascular nodule and vascular-crossing could not be distinguished by dot filter and make high rate of false positive, a feature subset selection method based on improved genetic algorithms in wrapper model was proposed, and the best feature subset was used to establish a classifier based on support vector machines to improve the performance by reducing false positive...
Electrocardiogram (ECG) is a biological signal which reflects the electronic excitement of cardiac activities and vital signs. As a kind of signal time marker, the parameter information of ECG, such as R wave amplitude and RR period, plays an important part in clinic. According to the traditional characteristics of ECG signal, an ECG automatic analysis system is designed based on virtual instruments...
Accurate measurement of the mill level is a key factor to improve the ball mill's productive efficiency, safety and economy. Aiming at solving the critical problem of the mill level soft sensor, feature extraction of the processing parameters, a novel method based on Deep Belief Network (DBN) is proposed. DBN is one of the deep learning methods, which focuses on learning deep hierarchical models of...
Breast tumor detection in digital mammography is one of the most important methods of breast cancer prevention. Computer-aided diagnosis (CAD) based on extreme learning machine (ELM) has significant meanings for breast tumor detection as it has good generalization abilities and a high learning efficiency. In this paper, a breast tumor detection algorithm in digital mammography based on ELM is proposed...
A fast and robust colorectal polyp detection framework in CT colonography was proposed. In order to speed the detection of polyp in CT colonography, a cascade-Adaboost framework was employed, and a lot of candidates were rejected quickly in the first stages of the cascade framework. To improve the performance of cascade-Adaboost, cascade indifference curve was explored to determine detection rate...
Efficiently, accurately and automatically positioning the ribs in CT images and giving tips of which rib it is on cross-sectional plane will be very helpful for doctor's clinical diagnosis. This paper presented a new method of automatic rib positioning and extraction in CT images. According to the anatomical characteristics of ribs, the first rib will presents as a sloping line gradually when we slice...
Computer-aided diagnosis (CAD) system can promote the detection accuracy by providing a “second opinion” to the radiologist, so high accuracy detection of mass in mammogram is critical for improving the performance and efficiency. In this paper, we designed a mass auto-diagnosis method in mammogram based on texture features. First, the mass was detected base on bilateral comparison, and the center...
The homogeneous texture descriptor is one of MPEG-7 texture descriptors. This descriptor describes the texture information of an image or the region of interest in an image. A new texture feature wedge feature is proposed, which emphasizes the texture direction. The homogeneous texture descriptor owning the new feature is more suitable to content-based image retrieval system. The experimental results...
High accurate detection of mass in mammogram is critical for improving the performance and efficiency of computer-aided diagnosis (CAD) system. In this paper, we propose a novel approach to enhance the detection performance of mass in mammograms using Wavelet Transform Modulus Maximum (WTMM). First, hunt the region of interest (ROI) through the whole image and the ROI was approximately located by...
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