Simple Summary Breast cancer is one of the most common cancers among women globally.
Early and accurate screening of breast tumours can improve survival. Ultrasound …

Breast cancer is the most frequently diagnosed cancer in women; it poses a serious threat to
women's health. Thus, early detection and proper treatment can improve patient prognosis …

Although accurate detection of breast cancer still poses significant challenges, deep
learning (DL) can support more accurate image interpretation. In this study, we develop a …

Ultrasonography is one of the key medical imaging modalities for evaluating breast lesions.
For differentiating benign from malignant lesions, computer‐aided diagnosis (CAD) systems …

Simple Summary Breast cancer is the most common cancer, which resulted in the death of
700,000 people around the world in 2020. Various imaging modalities have been utilized to …

Breast cancer is the most common cancer in women worldwide. Providing accurate and
efficient diagnosis, risk stratification and timely adjustment of treatment strategies are …

Purpose We aimed to evaluate deep learning approach with convolutional neural networks
(CNNs) to discriminate between benign and malignant lesions on maximum intensity …

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 To compare the diagnostic performance of deep learning models using
convolutional neural networks (CNN) with that of radiologists in diagnosing endometrial …

Background Breast ultrasound identifies additional carcinomas not detected in
mammography but has a higher rate of false-positive findings. We evaluated whether use of …