Deep learning (DL) is a branch of machine learning and artificial intelligence that has been
applied to many areas in different domains such as health care and drug design. Cancer …

Although deep learning models like CNNs have achieved great success in medical image
analysis, the small size of medical datasets remains a major bottleneck in this area. To …

Breast lesion detection using ultrasound imaging is considered an important step of
computer-aided diagnosis systems. Over the past decade, researchers have demonstrated …

Breast ultrasound and computer aided diagnosis (CAD) has been used to classify tumors
into benignancy or malignancy. However, conventional CAD software has some problems …

Breast cancer is one of the most common forms of cancer among women worldwide. The
development of computer-aided diagnosis (CAD) technology based on ultrasound imaging …

Simple Summary Transfer learning plays a major role in medical image analyses; however,
obtaining adequate training image datasets for machine learning algorithms can be …

Purpose We propose a deep learning‐based approach to breast mass classification in
sonography and compare it with the assessment of four experienced radiologists employing …

Fault diagnosis is critical to ensure the safety and reliable operation of rotating machinery.
Most methods used in fault diagnosis of rotating machinery extract a few feature values from …

Cancer is a major public health issue in the modern world. Breast cancer is a type of cancer
that starts in the breast and spreads to other parts of the body. One of the most common …

Breast classification and detection using ultrasound imaging is considered a significant step
in computer-aided diagnosis systems. Over the previous decades, researchers have proved …