Machine learning–based medical anomaly detection is an important problem that has been
extensively studied. Numerous approaches have been proposed across various medical …

During the last decade, computer vision and machine learning have revolutionized the world
in every way possible. Deep Learning is a sub field of machine learning that has shown …

In the last few years, there has been a growing expectation created about the analysis of
large amounts of data often available in organizations, which has been both scrutinized by …

This paper proposes a strategy where a structure is developed to recognize and order the
tumor type. Over a time of years, numerous specialists have been examined and proposed a …

Timely and accurate auxiliary diagnosis of intracranial aneurysm can help radiologist make
treatment plans quickly, saving lives and cutting costs at the same time. At present, Digital …

Machine learning-based medical anomaly detection is an important problem that has been
extensively studied. Numerous approaches have been proposed across various medical …

Autism spectrum disorder (ASD) is brain enabled disorder representing behaviors in a
repetitive manner and social deficits. In this paper, ASD is diagnosed using brain magnetic …

One of the most common malignant tumors in the world today is lung cancer, and it is the
primary cause of death from cancer. With the continuous advancement of urbanization and …

As a popular research direction in computer vision, deep learning technology has promoted
breakthroughs in the field of object detection. In recent years, the combination of object …

In the recent years, health issues have inescapably become center of attention for many
researchers. Brain tumor is now a leading cause of death among medically certified deaths …