Ultrasound (US) has become a widely used imaging modality in clinical practice,
characterized by its rapidly evolving technology, advantages, and unique challenges, such …

Ultrasound (US) has become one of the most commonly performed imaging modalities in
clinical practice. It is a rapidly evolving technology with certain advantages and with unique …

In recent times, the incorporation of vision transformers has ushered in a new era of
intelligent medical image analysis, leading to groundbreaking advancements in healthcare …

Medical ultrasound (US) imaging has become a prominent modality for breast cancer
imaging due to its ease of use, low cost, and safety. In the past decade, convolutional neural …

Rationale and Objectives To develop a deep learning model for the automated classification
of breast ultrasound images as benign or malignant. More specifically, the application of …

In this study, we introduce a novel approach designed to enhance transfer learning
applications by optimizing data sampling through deep learning processes and …

Background: Vision Transformer (ViT) and Convolutional Neural Networks (CNNs) each
possess distinct strengths in medical imaging: ViT excels in capturing long-range …

Artificial intelligence (AI) refers to the field of computer science theory and technology [1] that
is focused on creating intelligent machines capable of simulating human intelligence [2]. AI …

The remarkable performance of the Transformer architecture in natural language processing
has recently also triggered broad interest in Computer Vision. Among other merits …

Breast cancer is a prominent contributor to mortality associated with cancer in the female
population on a global scale. The timely identification and precise categorization of breast …