Image segmentation is one of the most critical tasks in Magnetic Resonance (MR) images
analysis. Since the performance of most current image segmentation methods is suffered by …

Many routine medical examinations produce images of patients suffering from various
pathologies. With the huge number of medical images, the manual analysis and …

Résumé Dans le domaine de l'imagerie médicale, la segmentation des images est une
tâche cruciale, qui permet d'isoler dans l'image les objets significatifs sur lesquels doit porter …

Brain MR images segmentation has attracted a particular focus in medical imaging. The
automatic image analysis and interpretation became a necessity. Segmentation is one of the …

Image segmentation is the process of partitioning the image into significant regions easier to
analyze. Nowadays, segmentation has become a necessity in many practical medical …

In this paper, we present a new brain image segmentation model (DL-HMRF) using deep
learning and hidden Markov random fields (HMRFs). That segments the brain images into …

Image segmentation is the process of partitioning an image into smaller non-overlapped and
meaningful regions based in part on some homogeneity characteristics. Many high-level …

Résumé L'utilisation des clés de détermination basées sur les caractères morpho-
anatomiques et le séquençage de l'ADN avec le marqueur COI nous ont permis d'identifier …