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 …

Phishing is an online fraud that deceives visitors by impersonating a legitimate website to
steal their confidential or personal information. This is a well-known form of cybercrime. With …

The brain tumor grade classification is one of the prevalent tasks in brain tumor image
classification. The existing models have employed transfer learning and are unable to …

The ability of Convolutional Neural Networks (CNNs) to accurately discriminate between
normal and tumorous brain tissues has been promising. The review focuses on the different …

The categorization of brain tumors is crucial for accurate medical analysis as well as
healing. Convolutional Neural Network plays an essential role in diagnosing disease in the …

Objective Brain tumors are abnormal growths of brain cells that are typically diagnosed via
magnetic resonance imaging (MRI), which helps to discriminate between malignant and …

Stroke ranks as one of the deadliest diseases globally, emphasizing the crucial need for
early diagnosis. This study aims to create a two-stage classification system for stroke and …

Brain tumor detection and classification is a main concern owing to the global fatalities
caused by it. Computer-aided design (CAD) techniques for classification of brain tumor are …

Background Brain tumor is a grave illness causing worldwide fatalities. The current detection
methods for brain tumors are manual, invasive, and rely on histopathological analysis …

Malignant brain glioma is considered as one of the deadliest cancer diseases that has a
higher fatality rate than the survival rate. In terms of brain glioma imaging and diagnosis, the …