Automated segmentation of brain tumors using Magnetic Resonance Imaging (MRI) data is
critical in the analysis and monitoring of disease development. As a result, gliomas are …

Diabetes mellitus, a chronic disease that has a significant influence on human lives, families,
and communities globally, has reached alarming levels and is therefore a leading economic …

A tumor is a life-threatening disease that refers to the abnormal growth of cells in any part of
the human body. Early detection of this abnormality not only helps with appropriate …

A significant topic of investigation in the area of medical imaging is brain tumor classification.
Since precision is significant for classification, computer vision researchers have developed …

One of the most severe types of cancer caused by the uncontrollable proliferation of brain
cells inside the skull is brain tumors. Hence, a fast and accurate tumor detection method is …

Cancer of the brain is most common in the elderly and young and can be fatal in both. Brain
tumours can heal better if they are diagnosed and treated quickly. When it comes to …

A brain tumor is the cause of abnormal growth of cells in the brain. Magnetic resonance
imaging (MRI) is the most practical method for detecting brain tumors. Through these MRIs …

Brain tumors are a serious health issue that affects many people's lives. Such a tumor, which
is either benign or malignant, can be fatal if malignant cells are not correctly diagnosed …

Deep learning models, such as convolutional neural network (CNN), are popular now a day
to solve various complex problems in medical and other fields, such as image classification …

This paper proposes a system to effectively identify brain tumors on MRI images using
artificial intelligence algorithms and ADAS optimization function. This system is developed …