In this paper we describe the use of tumor marker estimation models in the prediction of tumor diagnoses. In previous work we have identified classification models for tumor markers that can be used for estimating tumor marker values on the basis of standard blood parameters. These virtual tumor markers are now used in combination with standard blood parameters for learning classifiers that are...

Abstract Medulloblastoma (MB) is a primary central nervous system tumor and the most common malignant brain cancer among children. Neuropathologists perform microscopic inspection of histopathological tissue slides under microscope to assess severity tumor. This timeconsuming task often infused with observer variability. Recently, pre-trained convolutional neural networks (CNN) have shown promi...

Magnetic Resonance imaging (MRI) has become a widely used method of high quality medical imaging. Brain tumor classification is one of the major problems in diagnosing the tumor at early stage. Thus various methods are surveyed in order to obtain better classification accuracy and to reduce the computational time. Since misclassification occurs due to high diversity in tumor appearance and tumo...

A new classification approach was developed to improve the noninvasive diagnosis of brain tumors. Within this approach, information is extracted from magnetic resonance imaging and spectroscopy data, from which the relative location and distribution of selected tumor classes in feature space can be calculated. This relative location and distribution is used to select the best information extrac...

Feature extraction plays a key role in tumor classification based on gene expression profiles, which can improve the performance of classifier. We design two novel feature extraction methods to extract tumor-related features. One is combining gene ranking and discrete cosine transform (DCT) with principal component analysis (PCA), and another is combining gene ranking and discrete Fourier trans...

Renal cell carcinoma is a group of malignancies arising from the epithelium of the renal tubules. The pattern of somatic mutations in kidney tumors has been extensively investigated. In the current 2004 WHO classification, the molecular background of a renal tumor has become, in addition to histopathology, a major criterion for tumor classification. The goal of this review is to discuss morphol...