Tumor segmentation from magnetic resonance imaging (MRI) data is an important but time
consuming manual task performed by medical experts. Automating this process is a …

Brain hemorrhage is the first cause of death in ages between 15 and 24, and the third after
heart diseases and cancers in other ages. Saving the lives of such patients completely …

Purpose: To develop and investigate a method to identify, from dynamic contrast enhanced
(DCE) MRI, significant subvolumes of tumors related to treatment outcomes. Methods: A …

Incorporation of positron emission tomography (PET) data into radiotherapy planning is
currently under investigation for numerous sites including lung, brain, head and neck …

The new imaging techniques for organic body tissue give more details and information
about the normal and abnormal tissue that help to distinguish the overlapping in margin of …

Brain hemorrhage detection and classification is a major help to physicians to rescue
patients in an early stage. In this paper, we have tried to introduce an automatic detection …

This article presents a method of segmentation for brain tumor by Fuzzy Otsu Threshold
Morphological (FOTM) algorithm. Due to increases in brain tumors, the numbers of acquired …

Tumor segmentation from magnetic resonance imaging (MRI) data is an important but time
consuming manual task performed by medical experts. Automating this process is a …

In this work the authors compare the accuracy of two‐dimensional (2D) and three‐
dimensional (3D) implementations of a computer‐aided image segmentation method to that …

Intracranial hemorrhage is the primary cause of death for patients in early age. Lives of
these patients depend on proper or accurate detection of Intracranial Hemorrhage (ICH) …