In the recent years human brain segmentation in three-dimensional magnetic resonance
imaging (MRI) has gained a lot of importance in the field of biomedical image processing …

Reliance on Internet and online procedures increased the potential of attacks launched over
the Internet. Therefore, network security needs to be concerned to provide secure …

This paper describes a novel framework for automatic segmentation of primary tumors and
its boundary from brain MRIs using morphological filtering techniques. This method uses T2 …

Intrusion Detection System (IDS) is a valuable tool for the defense-in-depth of computer
networks. However, Intrusion detection systems faces a number of challenges. One of the …

These days, cancer is one of the diseases that scares people the most. Brain cancer may be
considered among the most difficult cancers to treat, as it involves the organ which is not …

Purpose: Segmentation of pathological tissues from conventional brain MRI is a difficult and
time-consuming task because of the complex structure of the brain. This paper presents a …

Introduction Intracranial volume (ICV) is an important tool in the management of patients
undergoing decompressive craniectomy (DC) surgery. The aim of this study was to validate …

This paper deals with two dimensional magnetic resonance imaging (MRI) sequence of
brain slices which include many objects to identify and estimate the volume of the brain …

This paper is on detecting brain tumors using MRI images, and obtaining a 3D model of the
detected tumor. With the developed software, image segmentation algorithms were applied …

3D segmentation is an important pre-processing phase that dictates the performance of the
possible post processing applications in 3D biomedical image analysis. 3D reconstruction of …