Advances in technology have been able to affect all aspects of human life. For example, the
use of technology in medicine has made significant contributions to human society. In this …

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 …

Brain tumor classification plays an important role in clinical diagnosis and effective
treatment. In this work, we propose a method for brain tumor classification using an …

Brain tumors can be fatal if not detected early enough. Manually diagnosing brain tumors
requires the radiologist's experience and expertise, which may not always be available …

Brain tumor represents one of the most fatal cancers around the world. It is common cancer
in adults and children. It has the lowest survival rate and various types depending on their …

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

Brain tumor is a deadly disease and its classification is a challenging task for radiologists
because of the heterogeneous nature of the tumor cells. Recently, computer-aided …

The computer‐aided diagnostic (CAD) method to detect human brain tumors relies heavily
on automated tumor characterization. Although CAD method has been extensively …

In this paper, a new deep learning method for tumor classification in MR images is
presented. A deep neural network is first pre-trained as a discriminator in a generative …

Automated tumor characterization has a prominent role in the computer-aided diagnosis
(CAD) system for the human brain. Despite being a well-studied topic, CAD of brain tumors …