Artificial intelligence (AI) is a new technical discipline that uses computer technology to
research and develop the theory, method, technique, and application system for the …

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 …

Ultrasound (US) imaging is widely used for anatomical structure inspection in clinical
diagnosis. The training of new sonographers and deep learning based algorithms for US …

Objectives To evaluate the prediction performance of deep convolutional neural network
(DCNN) based on ultrasound (US) images for the assessment of breast cancer molecular …

The purpose of this study was to use the Coronavirus Disease 2019 (COVID-19) Reporting
and Data System (CO-RADS) to evaluate the chest computed tomography (CT) images of …

Breast cancer was the most diagnosed cancer in 2020. Several thousand women continue
to die from this disease. A better and earlier diagnosis may be of great importance to …

Purpose: To assess the ability of pix2pix conditional generative adversarial network (pix2pix
cGAN) to create plausible synthesized Scheimpflug camera color-coded corneal …

We aimed to evaluate an artificial intelligence (AI) system that can detect and diagnose
lesions of maximum intensity projection (MIP) in dynamic contrast-enhanced (DCE) breast …

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

Deep learning (DL) has become a remarkably powerful tool for image processing recently.
However, the usefulness of DL in positron emission tomography (PET)/computed …