Arthritis, a leading cause of disability worldwide, predominantly manifests as osteoarthritis
(OA) and rheumatoid arthritis (RA). Traditional diagnostic methods for arthritis, including …

This study explores the application of deep learning models for the classification of common
teeth diseases, including Calculus, Tooth Discoloration, and Caries, using JPG images of …

When it comes to brain tumors, there's no other disease that has as heavy an impact on life
expectancy, and not only is it among the main causes of death globally. The only way out of …

Significant advances have been made toward building accurate automatic segmentation
models for adult gliomas. However, the performance of these models often degrades when …

Brain tumors are serious conditions, which can cause great trauma to patients, endangering
their health and even leading to disability or death. Therefore, accurate preoperative …

Currently, brain tumors are extremely harmful and prevalent. Deep learning technologies,
including CNNs, UNet, and Transformer, have been applied in brain tumor segmentation for …

Background Fully automatic skull-stripping and tumor segmentation are crucial for
monitoring pediatric brain tumors (PBT). Current methods, however, often lack …

Botox injections are a popular, non-invasive treatment in facial aesthetics, used to reduce
wrinkles and achieve a youthful appearance. Accurate evaluation of Botox's efficacy is …

Magnetic resonance imaging (MRI) technology has made it possible to observe the inside of
the brain in vivo, providing a window for researchers to better understand the processes of …

Advancements in imaging data analysis have profoundly impacted surgical practices,
enhanced precision and improved patient outcomes. This review explores the diverse …