Ultrasound is a commonly used imaging modality for breast cancer diagnosis and prognosis
but suffers from false positives, false negatives and interobserver variability. Deep learning …

The objective of this study is to perform a comprehensive bibliometric analysis of the existing
literature on breast cancer segmentation using deep learning techniques. Data for this …

Purpose An automated computerized approach can aid radiologists in the early diagnosis of
breast cancer. In this study, a novel method is proposed for classifying breast tumors into …

The AI-based assisted diagnosis programs have been widely investigated on medical
ultrasound images. Complex scenario of ultrasound image, in which the coupled …

One of the most dangerous conditions in clinical practice is breast cancer because it affects
the entire life of women in recent days. Nevertheless, the existing techniques for diagnosing …

This study proposes a novel approach for breast tumor classification from ultrasound images
into benign and malignant by converting the region of interest (ROI) of a 2D ultrasound …

该文提出一种基于特征反馈机制的超声图像病灶检测方法, 以实现超声病灶的实时精确定位与
检测. 所提方法由基于特征反馈机制的特征提取网络和基于分治策略的自适应检测头两部分组成 …

This paper specifically focuses on reviewing and analyzing the research progress of AI-
assisted breast ultrasound image classification to provide researchers with a clear …

Low-and middle-income countries, such as the US-Affiliated Pacific islands, suffer from
much higher advanced stage breast cancer (Stages III and IV) rates than high-income …

The article is a systematic literature review of the use of automation for quality of service
(QoS) in computer networks. It summarizes the research trends, datasets, and methods used …