Alzheimer's disease (AD) is a progressive neurodegenerative disorder that represents a
significant and growing public health challenge. This work concisely summarizes AD …

The use of various kinds of magnetic resonance imaging (MRI) techniques for examining
brain tissue has increased significantly in recent years, and manual investigation of each of …

Alzheimer's disease (AD) is a progressive neurodegenerative condition, and early
intervention can help slow its progression. However, integrating multi-dimensional …

Background In order to push the frontiers of brain-computer interface (BCI) and neuron-
electronics, this research presents a novel framework that combines cutting-edge …

Brain tumor detection is crucial in medical research due to high mortality rates and treatment
challenges. Early and accurate diagnosis is vital for improving patient outcomes, however …

The research focuses on the segmentation and classification of leukocytes, a crucial task in
medical image analysis for diagnosing various diseases. The leukocyte dataset comprises …

Background Depression is a global mental disorder, and traditional diagnostic methods
mainly rely on scales and subjective evaluations by doctors, which cannot effectively identify …

With psoriasis and eczema being the two most common diseases worldwide, achieving
automatic diagnosis could be useful for healthcare cyber-physical system. However …

Cervical lesions pose a significant threat to women's health worldwide. Colposcopy is
essential for screening and treating cervical lesions, but its effectiveness depends on the …

Objective Brain tumor grade is an important aspect of brain tumor diagnosis and helps to
plan for treatment. Traditional methods of diagnosis, including biopsy and manual …