Medical imaging is the process of visual representation of different tissues and organs of the
human body to monitor the normal and abnormal anatomy and physiology of the body …

Introduction In modern days, checking the huge number of MRI (magnetic resonance
imaging) images and finding a brain tumour manually by a human is a very tedious and …

Recent advances in wearable ultrasound technologies have demonstrated the potential for
hands-free data acquisition, but technical barriers remain as these probes require wire …

Deep learning methods have achieved significant results in various fields. Due to the
success of these methods, many researchers have used deep learning algorithms in …

A brain Magnetic resonance imaging (MRI) scan of a single individual consists of several
slices across the 3D anatomical view. Therefore, manual segmentation of brain tumors from …

Breast cancer is a common and fatal disease among women worldwide. Therefore, the early
and precise diagnosis of breast cancer plays a pivotal role to improve the prognosis of …

Deep learning (DL) algorithms have rapidly become a robust tool for analyzing medical
images. They have been used extensively for medical image segmentation as the first and …

Brain Tumor segmentation is one of the most crucial and arduous tasks in the terrain of
medical image processing as a human-assisted manual classification can result in …

Medical imaging is a rich source of invaluable information necessary for clinical judgements.
However, the analysis of those exams is not a trivial assignment. In recent times, the use of …

Medical imaging refers to several different technologies that are used to view the human
body to diagnose, monitor, or treat medical conditions. It requires significant expertise to …