Glioblastoma (GBM) is the most common primary malignant brain tumor, and despite recent advances in therapy, the prognosis for patients with GBM remains dismal. The median survival of newly diagnosed GBM patients is 15 months when treated with the current standard of care, which is a multimodality approach that includes maximal surgical resection followed by concurrent chemoradiation and 6 mont...

Detection of very fine defects in the width range of a few microns is very difficult by using conventional radiographic equipment, due to three limiting factorscontrast, definition and image graininess. Variables, such as X-ray energy, scattered radiation, type of film, processing parameters, film density, focal spot size, source to object distance etc, if controlled properly, can lead to radio...

We introduce EnhanceGAN, an adversarial learning based model that performs automatic image enhancement. Traditional image enhancement frameworks involve training separate models for automatic cropping or color enhancement in a fully-supervised manner, which requires expensive annotations in the form of image pairs. In contrast to these approaches, our proposed EnhanceGAN only requires weak supe...

Introduction: Content Based Image Retrieval (CBIR) is a method of image searching and retrieval in a  database. In medical applications, CBIR is a tool used by physicians to compare the previous and current  medical images associated with patients pathological conditions. As the volume of pictorial information  stored in medical image databases is in progress, efficient image indexing and retri...

Computed tomography (CT) was first developed to measure accurately radiographic density, rather than as a method of imaging. Although subsequent development concentrated on the imaging potential of the method, some recent studies have used the ability of the method to quantify radiographic density, to provide precise measurements of lung regions and infer differences in regional properties. CT ...

An application of machine vision, incorporating neural networks, which aims to fully automate real-time radiographic inspection in welding processes is described. The current methodology adopted comprises two distinct stages the segmentation of the weld from the background content of the radiographic image, and the segmentation of suspect defect areas inside the weld region itself. In the first...

Technical limitations in image capturing usually impose defective, such as contrast degradation. There are different approaches to improve the contrast of an image. Among the exiting approaches, un-sharp masking is a popular method due to its simplicity in implementation and computation. There is an important parameter in un-sharp masking, named gain factor, which affects the quality of the enh...

Image Enhancement Is As Much An Art As It Is A Science.” Image enhancement is one of the key issues in high quality pictures such as digital cameras. The main purpose of image enhancement is to bring out detail that is hidden in an image or to increase contrast in a low contrast image. This technique provides a multitude of choices for improving the visual quality of images. This is the main re...