Abstract Modern medical clinics support examinations with computer systems which use Computational Intelligence on the way to detect potential health problems in more efficient way. One of most important applications is evaluation CT brain scans, where precise results come from deep learning approaches. In this article, we propose a novel correlation mechanism (CLM) for neural network architect...

Understanding brain diseases such as categorizing Brain-Tumor (BT) is critical to assess the tumors and facilitate patient with proper cure per their categorizations. Numerous imaging schemes exist for BT detection, Magnetic Resonance Imaging (MRI), generally utilized because of better quality images reality depending on non-ionizing radiation. This paper proposes an approach detect distinctive...

Tumor detection has been an active research topic in recent years due to the high mortality rate. Computer vision (CV) and image processing techniques have recently become popular for detecting tumors MRI images. The automated process is simpler takes less time than manual processing. In addition, difference expanding shape of brain tumor tissues complicates clinicians. We proposed a new framew...

malignant germ-cell tumors (mgct) are rare tumors of childhood accounting for less than 3% of pediatric malignancies. endodermal sinus tumor (est) forms the most common histologic subtype of mgct. the vagina is an extremely rare site for gcts. an 8-month-old female was admitted with a short history of vaginal bleeding, and a mass protruding from the vagina. she was pale and a mass was palpable ...

purpose: to recognize affective factors in delivering x-ray contrast agents (which have high atomic number) via gallium carrier to liver or lymphatic neoplasm cells.   materials and methods: since uptake of gallium by liver has been reported in numerous researches, it was bonded with a contrast media (metrizoate). x-ray imaging was done to determine geometric features of liver.   results: radio...