The classification of tumors is crucial for the proper treatment of cancer. Sparse representation-based classifier (SRC) exhibits good classification performance and has been successfully used to classify tumors using gene expression profile data. In this study, we propose a three-step maxdenominator reweighted sparse representation classification (MRSRC) method to classify tumors. First, we ex...

Medical imaging has becoming as a transpire discipline in diversified medical diagnosis. It has been plays a vital role in automatic detection, which bestows information about abnormalities for further treatment. The traditional approach of detecting MRI has been based on manual inspection, which has become inappropriate for vast volume of data. Automated tumor detection has gaining importance ...

In the present study, the effectiveness of the adaptive resonance theory neural network (ART2) is illustrated in the context of automatic classification of abnormal brain tumor images. Abnormal images from four different classes namely metastase, meningioma, glioma and astrocytoma have been used in this work. Initially, textural features are extracted from these images. An extensive feature sel...

Tumor classification and segmentation from brain computed tomography image data is an important but time consuming task performed manually by medical experts. Automating this process is challenging due to the high diversity in appearance of tumor tissue among different patients and in many cases, similarity between tumor and normal tissue. This paper deals with an efficient segmentation algorit...

Many investigators have found that there is a decrease in tumor rates at some sites when rodents are exposed to some chemicals. The generality of this finding of anticarcinogenicity has been questioned. In this study, we evaluate the effect of several alternative ways of grouping the 3000 tumor types in the Cancer Bioassay Data System (CBDS) database of carcinogenesis test results into a limite...

BACKGROUND The 7th UICC N stage may be unsuitable for remnant gastric cancer (RGC) because the original disease and previous operation usually cause abnormal lymphatic drainage. However, the prognostic significance of the current TNM staging system in RGC has not been studied. METHODS Prospective data from 153 RGC patients who underwent curative gastrectomy from Jan 1995 to Aug 2009 were revi...

purpose: to present a case of orbital granular cell tumor, a rare orbital tumor. case report: a 55-year-old woman presented with binocular diplopia and right ocular displacement. the problem had initiated 3 years ago. a firm nontender mass at the region of the right lower lid was visible. orbital ct-scan disclosed a well-defined mass in the inferior right orbit with involvement of the inferior ...

Tumor is unwanted growth of unhealthy cell which increase intracranial pressure within skull. Medical image processing is the most challenging and innovative field specially MRI imaging modalities. The strategy presented in this paper involves preprocessing, segmentation, feature extraction, detection of tumor and its classification from MRI scanned brain images. Magnetic Resonance Imaging (MRI...

results there was no statistical difference between the 2 groups with respect to the recurrence rate (p > 0.05). although the recurrence interval was longer for the metformin group, this increase was not statistical significant (p > 0.05). furthermore, tumor recurrence had no correlation with sex or the grade of the tumors. conclusions according to our findings, it seems that metformin has no c...