Deep learning (DL) is a branch of machine learning and artificial intelligence that has been
applied to many areas in different domains such as health care and drug design. Cancer …

A neurodegenerative disorder, such as Parkinson's, Alzheimer's, epilepsy, stroke, and
others, is a type of disease in which central nervous system cells stop working or die …

This work delivers a novel technique to detect brain tumor with the help of enhanced
watershed modeling integrated with a modified ResNet50 architecture. It also involves …

Anomaly detection (AD) is a fundamental research problem in machine learning and
computer vision with practical applications in industrial inspection video surveillance and …

Medical image segmentation is a crucial way to assist doctors in the accurate diagnosis of
diseases. However, the accuracy of medical image segmentation needs further …

In medical science, imaging is the most effective diagnostic and therapeutic tool. Almost all
modalities have transitioned to direct digital capture devices, which have emerged as a …

The fight against cancer, a relentless global health crisis, emphasizes the urgency for
efficient and automated early detection methods. To address this critical need, this review …

Machine learning, a rapidly growing field, has attracted numerous researchers for its ability
to automatically learn from and make predictions based on data. This manuscript presents …

Background Automated brain tumor identification facilitates diagnosis and treatment
planning. We evaluate the performance of traditional machine learning (TML) and deep …

The Detection of brain abnormality is a complex task. The images captured from the MRI
scan machines have numerous information, and it is difficult to segment the appropriate …