Early detection of brain tumors can save precious human life. This work presents a fully
automated design to classify brain tumors. The proposed scheme employs optimal deep …

Neuro-oncological diseases are rare and their fatality rate is increased in patients due to
advance disease development despite of the recent outcomes on neuro-oncological …

Officials in the field of public health are concerned about a new monkeypox outbreak, even
though the world is now experiencing an epidemic of COVID-19. Similar to variola, cowpox …

The study of brain science is vital to human health. The application of hyperspectral imaging
in biomedical fields has grown dramatically in recent years due to their unique optical …

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 …

This study addresses the critical challenge of accurately classifying brain tumors using
artificial intelligence. Early detection is crucial, as untreated tumors can be fatal. Despite …

Evaluating the ecological security of ecotourism (EES) in protected areas is critical because
these areas play a vital role in protecting biodiversity and natural resources. This study …

Goal: Implementation of an artificial intelli gence-based medical diagnosis tool for brain
tumor classification, which is called the BTFSC-Net. Methods: Medical images are …

In the domain of remote sensing, the classification of hyperspectral image (HSI) has become
a popular topic. In general, the complicated features of hyperspectral data cause the precise …

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 …