Background Computer‐aided methods have been widely applied to diagnose lesions
detected on breast MRI, but fully‐automatic diagnosis using deep learning is rarely reported. …

Objectives To apply deep learning algorithms using a conventional convolutional neural
network (CNN) and a recurrent CNN to differentiate three breast cancer molecular subtypes on …

Objectives Anterior communicating artery (ACOM) aneurysms are the most common intracranial
aneurysms, and predicting their rupture risk is challenging. We aimed to predict this risk …

To listen to the podcast associated with this article, please select one of the following:
iTunes , Google Play , or direct download . OBJECTIVE. The purpose of this study was to …

Purpose To assess the performance of Support Vector Machines (SVM) classification to
stratify the Gleason Score (GS) of prostate cancer (PCa) in the central gland (CG) based on …

Breast cancer is the most common cancer in women. Ultrasound is a widely used screening
tool for its portability and easy operation, and DCE-MRI can highlight the lesions more …

Rationale and Objectives Diagnosis of breast cancer on MRI requires, first, the identification
of suspicious lesions; second, the characterization to give a diagnostic impression. We …

In this paper, we have developed epoxidized phenyl silicone rubber (EMVPQ) with good oil
and radiation resistance by anionic ring-opening copolymerization and further epoxidation …

Objective Stroke-associated pneumonia (SAP) is a frequent complication in stroke patients.
This present study aimed to investigate the association between stress hyperglycemia and …

Attention deficit hyperactivity disorder (ADHD) is a common childhood neuropsychiatric
disorder that has been linked to the dopaminergic system. This study aimed to investigate the …