Nowadays, the most common primary bone tumor is osteosarcoma, which mostly occurs in
teenagers. A common diagnosis method is currently that doctors manually diagnose …

In this paper, we discuss how the clustering analysis technique can be applied to analyze
functional magnetic resonance imaging (fMRI) time-series data in the context of …

Osteosarcoma is a primary malignant tumor. It is difficult to cure and expensive to treat.
Generally, diagnosis is made by analyzing MRI images of patients. In the process of clinical …

Recent improvements in current technology have had a significant impact on a wide range
of image processing applications, including medical imaging. Classification, detection, and …

As one of the most important organs in the human body, the brain controls every aspect of
daily life. In order to reduce the impact of any abnormalities or irregularities in the brain area …

Medical imaging is an exponentially growing field, which consists of a set of tools and
techniques used to extract useful information from medical images. Magnetic Resonance …

In recent years, brain magnetic resonance imaging (MRI) image segmentation has drawn
considerable attention. MRI image segmentation result provides a basis for medical …

Nowadays, so many people are living in world. If so many people are living, then the
diseases are also increasing day by day due to adulterated and chemical content food. The …

Data-driven decision making is vital in credit risk assessment and other areas. Complex
datasets are hard to rule. We use adaptive fuzzy network partitioning, rough set theory, and …

Medical image segmentation has long been a compelling and fundamental problem in the
realm of neuroscience. This is an extremely challenging task due to the intensely interfering …