As the cognition of spine develops, deep learning (DL) emerges as a powerful tool with
tremendous potential for advancing research in this field. To provide a comprehensive …

Sign Language Recognition is a form of action recognition problem. The purpose of such a
system is to automatically translate sign words from one language to another. While much …

Automatic car damage detection and assessment are very useful in alleviating the burden of
manual inspection associated with car insurance claims. This will help filter out any frivolous …

In cardiac cine imaging, acquiring high-quality data is challenging and time-consuming due
to the artifacts generated by the heart's continuous movement. Volumetric, fully isotropic data …

The diagnosis of degenerative lumbar spine disease mainly relies on clinical manifestations
and imaging examinations. However, the clinical manifestations are sometimes not obvious …

Due to the increasing number of people working at computers in professional settings, the
incidence of lumbar disc herniation is increasing. Background/Objectives: The early …

The main challenge in loyalty programs is selecting customers with limited funding. To
address it, we explore various machine learning-based classification models. This study …

Background: Morphological parameters of the lumbar spine are valuable in assessing
lumbar spine diseases. However, manual measurement of lumbar morphological …

Dr Daichi Hayashi is an associate professor of clinical radiology at SUNY Stony Brook
University, Musculoskeletal Radiology Fellowship Program Director, Faculty Diversity …

Traffic sign recognition is an essential feature for self-driving cars. It provides input to the
decision-making process when maneuvering through traffic in real time. Correct …