Brain tumor occurs owing to uncontrolled and rapid growth of cells. If not treated at an initial
phase, it may lead to death. Despite many significant efforts and promising outcomes in this …

Brain is an amazing organ that controls all activities of a human. Any abnormality in the
shape of anatomical regions of the brain needs to be detected as early as possible to reduce …

Brain tumor segmentation has been a challenging and popular research problem in the area
of medical imaging and computer-aided diagnosis. In the last few years, especially since …

Brain tumor identification is a difficult task in the processing of diagnostic images and a great
deal of research is being performed. Normally, the doctor can evaluate their condition …

Grey matter (GM) in human brain contains most of the important cells covering the regions
involved in neurophysiological operations such as memory, emotions, decision making, etc …

Deep learning techniques have become crucial in the detection of brain tumors but
classifying numerous images is time‐consuming and error‐prone, impacting timely …

Abstract Magnetic Resonance Imaging (MRI) is a common medical imaging diagnostic tool
for the identification of disease (s) during clinical investigation. Brain MRI is used for …

Medical professionals need help finding tumours in the ground truth image of the brain
because the tumours' location, contrast, intensity, size, and shape vary between images …

Sažetak The use of artificial intelligence is becoming increasingly present in various spheres
of modern society, including the field of medicine. This thesis is based on the newest …

This work presents an optimal and robust framework for unification of the most accepted
tumor extraction frameworks for accurate, precise segmentation and quantification of tumor …