Resection of brain tumors is a tricky task in surgery due to its direct influence on the patients'
survival rate. Determining the tumor resection extent for its complete information via-à-vis …

This paper introduces a new framework for the segmentation of different brain structures
(white matter, gray matter, and cerebrospinal fluid) from 3D MR brain images at different life …

This study presents an unsupervised novel algorithm for color image segmentation, object
detection and tracking based on unsupervised learning step followed with a post processing …

This paper introduces a new framework for the segmentation of different brain structures
from 3D infant MR brain images. The proposed segmentation framework is based on a …

Accurate medical images analysis plays a vital role for several clinical applications.
Nevertheless, the immense and complex data volume to be processed make difficult the …

Precise segmentation of bone cancer is an important step for several applications. However,
the achievement of this task has proven problematic due to lack of contrast and the non …

Generally, radiologists analyse the Magnetic Resonance Imaging (MRI) by visual inspection
to detect and identify the presence of tumour or abnormal tissue in brain MR images. The …

I would also like to thank Mr. Andrew Switala with whom I enjoyed very fruitful and
stimulating research collaborations. Our discussions were always a great pleasure, and led …

In this paper, we discuss the classification of the brain tumor in Magnetic Resonance
Imaging (MRI) images using the U-Net model, then evaluate parameters that indicate the …

Shrinkage of the hippocampus is a primary biomarker for Alzheimer's disease and can be
measured through accurate segmentation of brain MR images. The paper will describe the …