Simple Summary In patients with prostate cancer, lymph node involvement is a risk factor of
relapse. Current guidelines recommend extended lymph node dissection to better stage the …

Deep convolutional generative adversarial networks (DCGANs) are newly developed tools
for generating synthesized images. To determine the clinical utility of synthesized images …

Simple Summary Breast cancer is one of the leading causes of cancer death among women.
Ultrasound is a harmless imaging modality used to help make decisions about who should …

Introduction: The pathological grading of pancreatic neuroendocrine neoplasms (pNENs) is
an independent predictor of survival and indicator for treatment. Deep learning (DL) with a …

In this paper, a model based on discrete wavelet transform and convolutional neural network
for brain MR image classification has been proposed. The proposed model is comprised of …

Introduction: Our aim was to evaluate the performance in clinical research and in clinical
routine of a research prototype, called positron emission tomography (PET) Assisted …

Background Bladder cancer is a kind of tumors with a high recurrence rate. The
improvement of the cure rate and prognosis of bladder tumor depends on the accurate …

Knowledge of gas volume, tissue mass and recruitability measured by the quantitative CT
scan analysis (CT-qa) is important when setting the mechanical ventilation in acute …

Purpose The purpose of this study was to evaluate whether deep learning reconstruction
(DLR) improves the image quality of intracranial magnetic resonance angiography (MRA) at …

Purpose Many high-risk osteopenia and osteoporosis patients remain undiagnosed. We
proposed to construct a convolutional neural network model for screening primary …