The 'curse of dimensionality' imposes fundamental limits on the analysis of the large, information rich datasets that are produced by mass spectrometry imaging. Additionally, such datasets are often too large to be analyzed as a whole and so dimensionality reduction is required before further analysis can be performed. We investigate the use of simple random projections for the dimensionality r...

introduction: the process of discriminating among benign and malignant hyperplasia begun with subjective methods using light microscopy and is now being continued with computerized morphometrical analysis requiring some features. one of the main features called volume percentage of stroma (vps) is obtained by calculating the percentage of stroma texture. currently, this feature is calculated by...

hypercoagulable states are a group of conditions associated with an enhanced tendency toward blood clotting. although usual clinical manifestations of hypercoagulable states are thrombotic events such as deep venous thrombosis, hematoma can also occurs as a result of hypercoagulability in some patients. several inherited or acquired conditions may lead to hypercoagulable states. some of them in...

this paper presents a new three-dimensional curvelet transform based dictionary learning for automatic segmentation of intraretinalcysts, most relevant prognostic biomarker in neovascular age-related macular degeneration, from 3d spectral-domain optical coherencetomography (sd-oct) images. in particular, we focus on the spectralis sd-oct (heidelberg engineering, heidelberg, germany) system, and...

diagnosis of corneal diseases is possible by measuring and evaluation of corneal thickness in different layers. thus, the need for precise segmentation of corneal layer boundaries is inevitable. obviously, manual segmentation is time‑consuming and imprecise. in this paper, the gaussian mixture model (gmm) is used for automatic segmentation of three clinically important corneal boundaries on opt...

coronary heart disease has been one of the main threats of human health. coronary angiography is taken as the “gold standard” for the assessment of coronary artery disease. but sometimes, the images are difficult to interpret visually because of the crossing and overlapping of the vessels in the angiograms. vessel extraction from x-ray angiograms has been a challenging problem for several years...

It is important to segment mass region accurately in a computer-aided diagnosis (CADx) scheme for evaluating the likelihood of malignancy of the mass on ultrasonographic breast image. The purpose of this study was to develop a novel level set method for segmentation of breast mass on ultrasonographic image. Our database consisted of 151 ultrasonographic images with 70 malignant and 81 benign br...

barrett's mucosa is one of the most important diseases in upper gastrointestinal system that caused by gastroesophagus reflux. if left untreated, the disease will cause distal esophagus and gastric cardiaadenocarcinoma. the malignancy risk is very high in short segment barrett’s mucosa. therefore,lesion area segmentation can improve specialist decision for treatment. in this paper, we proposeda...