Designing deep learning based methods with medical images has always been an attractive
area of research to assist clinicians in rapid examination and accurate diagnosis. Those …

Convolutional neural network (CNN) is widely used to classify brain tumors with high
accuracy. Since CNN collects features randomly without knowing the local and global …

“The identification, classification and treatment of crop plant diseases are essential for
agricultural production. Some of the most common diseases include root rot, powdery …

Magnetic resonance imaging (MRI) of the brain is the gold standard for diagnosing
degenerative neurological conditions such as brain tumours, strokes, dementia, and Multiple …

Brain tumors arise from the emergence of abnormal cells in brain tissue and are considered
one of the most perilous conditions affecting individuals of all ages, including both children …

INTRODUCTION: Compression of MRI images while maintaining essential information,
makes it easier to distinguish between different types of brain tumors. It also assesses the …

The identification, classification and treatment of crop plant diseases are essential for
agricultural production. Some of the most common diseases include root rot, powdery …

The perfect physical health and mental wellbeing is an important aspect of human kind.
Healthcare sectors involving machine learning and deep learning is providing good …

Degenerative diseases can impact individuals of any age, encompassing children and
teenagers; however, they typically tend to affect productive or adult individuals. Globally …

It is commonly known that early and accurate brain tumour detection is critical, which
emphasizes the need for better diagnostic techniques that improve patient outcomes …