A tumor is carried on by rapid and uncontrolled cell growth in the brain. If it is not treated in
the initial phases, it could prove fatal. Despite numerous significant efforts and encouraging …

Artificial intelligence (AI) is a major branch of computer science that is fruitfully used for
analyzing complex medical data and extracting meaningful relationships in datasets, for …

Automatic segmentation methods are an important advancement in medical image analysis.
Machine learning techniques, and deep neural networks in particular, are the state-of-the-art …

Over the past decade, convolutional neural networks (CNN) have shown very competitive
performance in medical image analysis tasks, such as disease classification, tumor …

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 …

Background Unsupervised learning can discover various unseen abnormalities, relying on
large-scale unannotated medical images of healthy subjects. Towards this, unsupervised …

Prostate cancer is the most common malignant tumors in men but prostate Magnetic
Resonance Imaging (MRI) analysis remains challenging. Besides whole prostate gland …

A brain tumor is one of the foremost reasons for the rise in mortality among children and
adults. A brain tumor is a mass of tissue that propagates out of control of the normal forces …

Brain tumor is a fatal disease, caused by the growth of abnormal cells in the brain tissues.
Therefore, early and accurate detection of this disease can save patient's life. This paper …

A brain tumor is one of the most perilous diseases in human beings. The manual
segmentation of brain tumors is costly and takes a lot of time; due to this reason, automated …