normal 0 false false false en-us x-none fa background:  regarding the importance of right diagnosis in medical applications, various methods have been exploited for processing medical images solar. the method of segmentation is used to analyze anal to miscall structures in medical imaging. objective:  this study describes a new method for brain magnetic resonance image (mri) segmentation via a ...

This study presents a method to reconstruct a high-resolution image using a deep convolution neural network. We propose a deep model, entitled Deep Block Super Resolution (DBSR), by fusing the output features of a deep convolutional network and a shallow convolutional network. In this way, our model benefits from high frequency and low frequency features extracted from deep and shallow networks...

Segmentation of medical images is an important component for diagnosis and treatment of diseases using medical imaging technologies. However, automated accurate medical image segmentation is still a challenge due to the difficulties in finding a robust feature descriptor to describe the object boundaries in medical images. In this paper, a new normal vector feature profile (NVFP) is proposed to...

Thomas M. Lehmann, Henning Müller, Qi Tian, Nikolas P. Galatsanos, and Daniel Mlynek 1) Dept. of Medical Informatics, RWTH Aachen University of Technology, Aachen, Germany 2) Medical Informatics Service, University Hospitals of Geneva, Geneva, Switzerland 3) Inst. f. Infocomm Research, Agency for Science, Techn. and Research (A*Star), Singapore 4) Biom. Research Inst., Found. for Research & Tec...

Deep learning based disease detection and segmentation algorithms promise to improve many clinical processes. However, such require vast amounts of annotated training data, which are typically not available in the medical context due data privacy, legal obstructions, non-uniform acquisition protocols. Synthetic databases with pathologies could provide required data. We demonstrate example ische...

Radiological images are increasingly being used in healthcare and medical research. There is, consequently, widespread interest in accurately relating information in the different images for diagnosis, treatment and basic science. This article reviews registration techniques used to solve this problem, and describes the wide variety of applications to which these techniques are applied. Applica...