The rapid advancement of artificial intelligence (AI) in medical image analysis, particularly deep learning (DL) algorithms, has provided novel solutions for automated TN detection. However, existing ...

Abstract: With the vigorous development of semiconductor wafer, the optical inspection of surface defects of quartz wafer has attracted increasing attention. However, current algorithms for surface ...

Following is what you need for this book: If you are interested in learning computer vision, machine learning, and OpenCV in the context of practical real-world applications, then this book is for you ...

However, previous studies did not systematically synthesize their diagnostic accuracy. Objective: To quantitatively explore the diagnostic efficacy of deep learning (DL) and radiomics for extracranial ...

Abstract: The focus of this research is to use deep learning models to advance PCB (printed circuit board) panel defect detection in industrial manufacturing, in particular to evaluate and compare the ...

Melanoma remains one of the hardest skin cancers to diagnose because it often mimics harmless moles or lesions. While most artificial intelligence (AI) tools rely on dermoscopic images alone, they ...

ABSTRACT: Regular pipeline inspections are crucial for timely identification of critical defects and ensuring pipeline integrity. To address the challenges of detecting defects in PE gas pipelines ...