Background Brain cancer is a destructive and life-threatening disease that imposes
immense negative effects on patients' lives. Therefore, the detection of brain tumors at an …

Modern medical clinics support medical examinations with computer systems which use
Computational Intelligence on the way to detect potential health problems in more efficient …

Glioma is a kind of brain tumor that can arise at a distinct location along with dissimilar
appearance and size. The high-grade glioma (HGG) is a serious kind of cancer when …

The tumor in the brain is a serious disease that causes death in humans. Various imaging
modalities are utilized for identifying tumors, but the huge data produced by magnetic …

Magnetic resonance imaging (MRI) brain tumour segmentation is essential for the diagnosis,
planning, and follow-up of patients with brain tumours. In an effort to increase efficiency and …

Discrete wavelet transform (DWT) is often implemented by an iterative filter bank; hence, a
lake of optimization of a discrete time basis is observed with respect to time localization for a …

Augmented reality (AR) is a dynamic field intersecting various disciplines, with applications
spanning medicine and diagnostics. Our focus on advancing medical imaging has led to …

To solve the problems of rough edge and poor segmentation accuracy of traditional neural
networks in small nucleus image segmentation, a nucleus image segmentation technology …

Here, a brain tumor classification method using the support vector machine (SVM) algorithm
by utilizing discrete wavelet transform (DWT) transformation and feature extraction of gray …

In recent years, augmented reality has emerged as an emerging technology with huge
potential in image-guided surgery, and in particular, its application in brain tumor surgery …