Segmentation of images is a common task within medical image analysis and necessary component segmentation. The segmentation the liver tumors an important but challenging stage in screening diagnosing diseases. Although many automated techniques have been developed for tumor segmentation; however, still due to fuzzy & complex background position with other organs. As result, creating consid...

We present on-goingwork on the topic of learning translation models between image data and text (English) captions. Most approaches to this problem assume a one-to-one or a flat, oneto-many mapping between a segmented image region and a word. However, this assumption is very restrictive from the computer vision standpoint, and fails to account for two important properties of image segmentation:...

For obtaining reservoir petrophysical properties, for example porosity, non-destructive methods such as X-ray computed tomography, CT, seems to be precise and accurate. Porosity is deducted from the CT image with a single scan via different techniques, such as pore space detection by image segmentation techniques then correlation with porosity. More than one hundred samples with carbonate li...