Artificial intelligence has aided in the advancement of healthcare research. The availability
of open-source healthcare statistics has prompted researchers to create applications that aid …

Nowadays, brain tumors have become a leading cause of mortality worldwide. The brain
cells in the tumor grow abnormally and badly affect the surrounding brain cells. These cells …

In recent years, magnetic particle imaging (MPI) has emerged as a promising imaging
technique depicting high sensitivity and spatial resolution. It originated in the early 2000s …

Internet of medical things (IoMT) is gaining enormous attraction from the healthcare research
community. In IoMT, vital health-related information is gathered by medical devices with the …

Medical images have an undeniably integral role in the process of diagnosing and treating
of a very large number of ailments. Processing such images (for different purposes) can …

In this paper, an autonomous brain tumor segmentation and detection model is developed
utilizing a convolutional neural network technique that included a local binary pattern and a …

Cancer is one of the most harmful disease. MRI is one of the procedures of detecting cancer.
Machine learning with image classifier can be used to efficiently detect cancer cells in brain …

Medical images play an important role in treating a large number of ailments as they are
integral and even indispensable to the diagnosis process of such ailments. Medical images …

The precise brain tumor diagnosis is critical and shows a vital role in the medical support for
treating tumor patients. Manual brain tumor segmentation for cancer analysis from many …

During our daily lives, artificial intelligence is becoming more ubiquitous. The two artificial
intelligence (AI) descendants are machine learning and deep learning. The new frontier of …