Magnetic resonance imaging (MRI) of the brain has benefited from deep learning (DL) to
alleviate the burden on radiologists and MR technologists, and improve throughput. The …

Brain tumor (BT) is one of the brain abnormalities which arises due to various reasons. The
unrecognized and untreated BT will increase the morbidity and mortality rates. The clinical …

In today's world, brain stroke is considered as a life-threatening disease provoked by
undesirable blockage among the arteries feeding the human brain. The timely diagnosis of …

A brain stroke is a life-threatening medical disorder caused by the inadequate blood supply
to the brain. After the stroke, the damaged area of the brain will not operate normally. As a …

Featured Application This review provides a critical review of deep/machine learning
algorithms used in the identification of ischemic stroke and demyelinating brain diseases. It …

Abstract Background and Objective The brain cancer is one of the most aggressive tumour:
the 70% of the patients diagnosed with this malignant cancer will not survive. Early detection …

Background Accurate segmentation of stroke lesions on MRI images is very important for
neurologists in the planning of post-stroke care. Segmentation helps clinicians to better …

The identification of MR images of the brain with tumours is one of the most critical tasks of
any brain tumour (BT) detection system. Interestingly, because of its non-invasive image …

Brain abnormality is a severe illness in humans. An unrecognised and untreated brain
illness will lead to a lot of complications despite of gender and age. Brain tumor is one of the …

Brain stroke is a complicated disease that is one of the foremost reasons of long-term
debility and mortality. Because of breakthroughs in Deep Learning (DL) and Artificial …