Breast cancer has become the primary reason of death in women in developed countries. Breast cancer is the second most common cause of cancer death in women worldwide. The high incidence of breast cancer in women has increased significantly during the last few decades. In this paper we have discussed various data mining approaches that have been utilized for early detection of breast cancer. Br...

Classification of cancer patients using traditional methods is a challenging task in the medical practice. Owing to rapid advances in microarray technologies, currently expression levels of thousands of genes from individual cancer patients can be measured. The classification of cancer patients by supervised statistical learning algorithms using the gene expression datasets provides an alternat...

Introduction: In this paper, a method is presented to classify the breast cancer masses according to new geometric features. Methods: After obtaining digital breast mammogram images from the digital database for screening mammography (DDSM), image preprocessing was performed. Then, by using image processing methods, an algorithm was developed for automatic extracting of masses from other norma...

Of all the patients who present with bladder cancer, approximately 75–85% present with disease confined to the mucosa (stage Tis carcinoma in situ [CIS] or stage Ta) or submucosa (stage T1). These groups of bladder cancer are referred to as non–muscleinvasive or superficial bladder cancer, in contrast with muscle-invasive bladder cancer (stage T2, or advanced stage T3–T4). These anatomic classi...

A successful classification of different tumor types is essential for successful treatment of cancer. However, most prior cancer classification methods are clinical-based and have inadequate diagnostic ability. Cancer classification using gene expression data is very important in cancer diagnosis and drug discovery. The introduction of DNA microarray techniques has made simultaneous monitoring ...

The concept of Data mining is used in various medical applications like tumor classification, protein structure prediction, gene classification, cancer classification based on microarray data, clustering of gene expression data, statistical model of protein-protein interaction etc. Adverse drug events in prediction of medical test effectiveness can be done based on genomics and proteomics throu...

The colorectal cancer (CRC) subtyping consortium has unified six independent molecular classification systems, based on gene expression data, into a single consensus system with four distinct groups, known as the consensus molecular subtypes (CMS); clinical implications are discussed in this review based on articles relevant to the CMS of CRC indexed in PubMed as well as the authors’ own ...

Cancer is a non-contagious disease that the leading cause of death globally. The most common types cancer with high mortality are lung and colon cancer. One efforts to reduce cases early diagnosis followed by medical therapy. Tissue sampling clinical pathological examination gold standard in diagnosis. However, some cases, tissue cell level requires accuracy, depending on contrast image, experi...

Medical image processing becomes a hot research topic in healthcare sector for effective decision making and diagnoses of diseases. Magnetic resonance imaging (MRI) is widely utilized tool the classification detection prostate cancer. Since manual screening process cancer difficult, automated diagnostic methods become essential. This study develops novel Deep Learning based Prostate Cancer Clas...