Orthopaedic diseases, which affect millions of people globally, present significant diagnostic
challenges, often leading to long-term disability and chronic pain. There is an ongoing …

Abstract Recently, Deep Learning (DL) models have shown promising accuracy in analysis
of medical images. Alzeheimer Disease (AD), a prevalent form of dementia, uses Magnetic …

Biomedical image analysis has played a pivotal role in modern healthcare by facilitating
automated analysis and interpretation of medical images. Biomedical image classification is …

A platform-based approach to assisting rheumatoid arthritis management Rheumatoid
arthritis (RA) is one of the major health issues affecting around 14 million people worldwide …

Soil classification is one of the emanating topics and major concerns in many countries. As
the population has been increasing at a rapid pace, the demand for food also increases …

The classification of medical images enables physicians to perform expeditious and
accurate data analysis, increasing the chances of timely disease diagnosis and early …

Zusammenfassung Ein Viertel der deutschen Bevölkerung weist Funktionseinschränkungen
am Bewegungsapparat auf, davon sind es zehn Millionen mit klinisch manifesten …

The study investigates the classification and identification of various kinds of rheumatoid
arthritis (RA) through applying X-ray pictures and deep learning methods like convolutional …

Rheumatoid arthritis (RA) is a debilitating autoimmune disease, necessitating precise
prognosis and treatment response predictions for personalized care. Artificial intelligence …

Deep learning, a sub-branch of artificial intelligence and machine learning, was developed
by taking inspiration from the working principle of the human brain (Guo, 2017). Deep …