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 …

A brain tumor is a distorted tissue wherein cells replicate rapidly and indefinitely, with no
control over tumor growth. Deep learning has been argued to have the potential to …

Brain tumor diagnosis at an early stage can improve the chances of successful treatment
and better patient outcomes. In the biomedical industry, non-invasive diagnostic procedures …

Medical image retrieval is essential to modern medical treatment because it enables doctors
to diagnose and treat a variety of illnesses. In this study, we present an innovative technique …

Emergence of deep neural networks in the healthcare has transformed the process of
analyzing medical images especially when it comes to diagnose brain tumor disease. As …

Today, Magnetic Resonance Imaging (MRI) is a prominent technique used in medicine,
produces a significant and varied range of tissue contrasts in each imaging modalities, and …

Brain tumors are formed when abnormal brain cells proliferate, some of which may evolve
into cancer. The method most frequently used to detect brain tumors is an MRI scan. The …

Abstract Background/Objectives: The main objective of this work is to obtain an efficient
brain tumor image retrieval and classification using Deep Neural Network (DNN) …

Several advances in computing facilities were made due to the advancement of science and
technology, including the implementation of automation in multi-specialty hospitals. This …

Any injury to the brain may result in an abnormal growth of the brain tissue that is
responsible for performing cognitive activities. This will ultimately lead to the development of …