Oral diseases have a significant impact on human health, often going unnoticed in their
early stages. Deep learning, a promising field in artificial intelligence, has shown remarkable …

Featured Application Convolutional Neural Network (CNN) models are capable of learning
complex patterns and features from images. An automatic teeth segmentation CNN model …

Tooth instance segmentation of dental panoramic X-ray images represents a task of
significant clinical importance. Teeth demonstrate symmetry within the upper and lower …

Remote sensing (RS) images contain a wealth of information with expansive potential for
applications in image segmentation. However, Convolutional Neural Networks (CNN) face …

The early diagnosis of colorectal cancer heavily relies on colonoscopy, but clinical
examinations often face challenges in detecting polyps due to various influencing factors …

This study aimed to evaluate the performance of deep learning algorithms for the
classification and segmentation of impacted mesiodens in pediatric panoramic radiographs …

Alzheimer's disease (AD) is a severe degenerative neurological disorder that can cause
heart and respiratory dysfunction. Thus, early detection of such disease is highly required …

Dental radiography plays a crucial role in clinical diagnosis, treatment, and prognosis. In
recent years, researchers have explored cutting-edge technologies to develop automated …

The importance of deep learning methods for the segmentation of dental radiographs has
increased since it enables medical practitioners to conduct examinations more precisely and …

Alzheimer's disease (AD) is an acute neurological disorder that can cause heart and
respiratory dysfunction. Thus, early detection of such a disease is of the utmost importance …