Abstract Recent advances in Deep Learning have largely benefited from larger and more
diverse training sets. However, collecting large datasets for medical imaging is still a …

Deep learning has made significant advancements in recent years. The technology is
rapidly evolving and has been used in numerous automated applications with minimal loss …

Tumor classification and segmentation are two important tasks for computer-aided diagnosis
(CAD) using 3D automated breast ultrasound (ABUS) images. However, they are …

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 …

Computer-aided diagnosis (CAD) technology has been widely used in the early diagnosis of
breast cancer. Nowadays, most of the existing breast ultrasound classification methods need …

Purpose Computer‐aided diagnosis (CAD) systems on breast ultrasound (BUS) aim to
increase the efficiency and effectiveness of breast screening, hel** specialists to detect …

Breast cancer is a common disease worldwide that poses a significant threat to the health of
women. Many researchers have developed computer-aided diagnosis (CAD) systems to …

Recent advances in artificial intelligence (AI) have shown promising results in various image-
based systems, improving accuracy and throughput, while reducing latency. All these factors …

Breast cancer is one of the most fatal diseases leading to the death of several women across
the world. But early diagnosis of breast cancer can help to reduce the mortality rate. So an …

Ultrasound imaging is essential for non-invasively diagnosing injuries where advanced
diagnostics may not be possible. However, image interpretation remains a challenge as …