Pre-sacral glomangioma: a rare localization of glomus tumors: case report.

Introduction And Importance: Deep-located glomangiomas are rarely reported. Because of their scarcity, treatment strategy is hard to establish. Herein, the authors report the first case to our knowledge of pre-sacral glomangioma.

When thoracic trauma does more good than harm: About an incidental finding of a gangliocytic paraganglioma of the ampulla of Vater.

Gangliocytic paragangliomas are benign neuro-endocrine tumors of the ampulla of Vater. Their preoperative diagnosis is hampered by the low yield of biopsies and non-specific imaging. Their management relies then on resection.

Acute abdominal syndrome revealing an intestinal amoebiasis: Report of two cases in Tunisia.

Amoebiasis is a parasitosis, mainly caused by Entamoeba histolytica (E. histolytica). It is a common disease in tropical and subtropical regions.

Deep Convolutional Encoder-Decoder algorithm for MRI brain reconstruction.

Compressed Sensing Magnetic Resonance Imaging (CS-MRI) could be considered a challenged task since it could be designed as an efficient technique for fast MRI acquisition which could be highly beneficial for several clinical routines. In fact, it could grant better scan quality by reducing motion artifacts amount as well as the contrast washout effect. It offers also the possibility to reduce the exploration cost and the patient's anxiety.

Denoising and contrast-enhancement approach of magnetic resonance imaging glioblastoma brain tumors.

We investigate a new preprocessing approach for MRI glioblastoma brain tumors. Based on combined denoising technique (bilateral filter) and contrast-enhancement technique (automatic contrast stretching based on image statistical information), the proposed approach offers competitive results while preserving the tumor region's edges and original image's brightness. In order to evaluate the proposed approach's performance, quantitative evaluation has been realized through the Multimodal Brain Tumor Segmentation (BraTS 2015) dataset.

An Advanced MRI Multi-Modalities Segmentation Methodology Dedicated to Multiple Sclerosis Lesions Exploration and Differentiation.

Multiple sclerosis (MS) is one of the most common neurological diseases in young people. This paper dealt with an automatic biomedical aided tool involving volumetric segmentation of multiple sclerosis lesions. To meet this challenge, our proposed methodology requires one preliminary cerebral zones segmentation performed using a new Gaussian mixture model based on various databases atlases.