X-ray imaging technology has been used for decades in clinical tasks to reveal the internal
condition of different organs, and in recent years, it has become more common in other …

Real-world images used for training machine learning algorithms are often unstructured and
inconsistent. The process of analysing and tagging these images can be costly and error …

Aerospace welds are non-destructively evaluated (NDE) during manufacturing to identify
defective parts that may pose structural risks, often using digital radiography. The analysis of …

Our ability to visualize and quantify the internal structures of objects via computed
tomography (CT) has fundamentally transformed science. As tomographic tools have …

Abstract Autism Spectrum Disorder (ASD) requires a precise diagnosis in order to be
managed and rehabilitated. Non-invasive neuroimaging methods are disease markers that …

We, the Editor, Institution and Publisher of the journal IETE Journal of Research, have
retracted the following article, which is part of the Special Issue titled “Federated Learning for …

Failure analysis and defect detection are crucial processes in industries, governments, and
societies to mitigate the risks associated with defective microelectronics. The accurate …

The purpose is to improve the training effect of physical education (PE) based on the
teaching concept of ideological and political courses. The research is supported by the …

Simple Summary Soft tissue sarcomas are relatively rare malignant diseases. Part of the
diagnosis and follow-up includes medical imaging of the thorax for detection of lung …

In the process of human movement, the behavioral characteristics of human body are
complex and diverse. Thus, it is difficult to use accurate shape to represent the uncertainty of …