The accurate selection of the ultrasound plane for the fetal head and pubic symphysis is
critical for precisely measuring the angle of progression. The traditional method depends …

Deep learning is crucial for preliminary screening and diagnostic assistance based on
medical image analysis. However, limited annotated data and complex anatomical …

Purpose: Abnormal tissue detection is a prerequisite for medical image analysis and
computer-aided diagnosis and treatment. The use of neural networks (CNN) to achieve …

As semiconductor processing technologies continue to advance, semiconductor wafers are
becoming more densely packed and intricate, resulting in a higher incidence of surface …

Breast cancer poses a significant global health challenge, demanding enhanced diagnostic
accuracy and streamlined medical history documentation. This study presents a holistic …

Breast cancer ranks among the most prevalent forms of malignancy and foremost cause of
death by cancer worldwide. It is not preventable. Early and precise detection is the only …

Breast cancer is a prevalent disease that primarily affects women globally, but it can also
affect men. Early detection is crucial for better treatment outcomes and mammography is a …

Due to the major impact of climate change on the world's environment, political and
economic systems, climate change mitigation has become a pressing priority for the …

The article focuses on breast cancer, mammography, and artificial intelligence. First, breast
cancer is a widespread health problem that affects millions of people worldwide, and …

Accurate and robust segmentation of organs or lesions from medical images plays a vital
role in many clinical applications such as diagnosis and treatment planning. With the …