Advances in recent techniques for scientific data collection in the era of big data allow for the
systematic accumulation of large quantities of data at various data-capturing sites. Similarly …

Magnetic Resonance Imaging (MRI) has commonly been used to detect and diagnose brain
disease and monitor treatment as non-invasive imaging technology. MRI produces three …

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 …

Brain is an amazing organ that controls all activities of a human. Any abnormality in the
shape of anatomical regions of the brain needs to be detected as early as possible to reduce …

In the last decade, there has been a significant increase in medical cases involving brain
tumors. Brain tumor is the tenth most common type of tumor, affecting millions of people …

In the present era, human brain tumor is the extremist dangerous and devil to the human
being that leads to certain death. Furthermore, the brain tumor arises more complexity of …

Abstract Machine Learning (ML) has been widely used in predicting the mode of childbirth
and assessing the potential maternal risks during pregnancy. The primary aim of this review …

Brain tumor is the most severe nervous system disorder and causes significant damage to
health and leads to death. Glioma was a primary intracranial tumor with the most elevated …

Medical imaging and deep learning methods have significantly improved the early detection
of brain diseases like tumors and Ischemic stroke with higher accuracy. Machine learning …

Neurological and brain-related cancers are one of the main causes of death worldwide. A
commonly used tool in diagnosing these conditions is Magnetic Resonance Imaging (MRI) …