The purpose of this study was to evaluate an artificial intelligence (AI) system for the
classification of axillary lymph nodes on ultrasound compared to radiologists. Ultrasound …

A computational approach to classifying axillary lymph node metastasis in sonographic
images is described. One hundred five ultrasound images of axillary lymph nodes from …

Background This study aims to comprehensively evaluate the accuracy and effectiveness of
ultrasound imaging based on artificial intelligence algorithms in predicting lymph node …

Purpose To investigate the ability of deep learning (DL) using convolutional neural networks
(CNNs) for distinguishing between normal and metastatic axillary lymph nodes on …

Purpose Ultrasonography has the potential to accurately stage breast cancer with
automated analysis to detect axillary lymph node metastasis. The aim of this study was to …

Background and objective The presence or absence of axillary lymph node (ALN)
metastasis is the most important prognostic factor for patients with early-stage breast cancer …

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Objective To investigate the ability of our convolutional neural network (CNN) to predict
axillary lymph node metastasis using primary breast cancer ultrasound (US) images …

Simple Summary A novel approach for automatic detection of neoplastic lesions in lymph
nodes is presented, which incorporates machine learning methods and the new LN-RADS …

Ultrasound diagnosis of axillary lymph nodes has the advantages of ease, convenience and
low cost; however, most previous studies evaluated lymph node metastasis of the entire …