Latest AI and machine learning research in breast cancer for healthcare professionals.
PURPOSE: To develop a deep learning model capable of producing clinically acceptable dose distributi...
PURPOSE: To develop a two-stage three-dimensional (3D) convolutional neural networks (CNNs) for full...
PURPOSE: Electromagnetic tracking (EMT) can partially replace X-ray guidance in minimally invasive p...
Autologous reconstruction using abdominal flaps remains the most popular method for breast reconstru...
BACKGROUND: It is very important to accurately delineate the CTV on the patient's three-dimensional ...
INTRODUCTION: Anti-Müllerian hormone (AMH) is the most reliable biomarker of ovarian reserve; howeve...
Trastuzumab () is useful in the clinical management of HER2-positive metastatic breast, gastric, and...
Exposure to appropriate doses of UV radiation provides enormously health and medical treatment benef...
BACKGROUND: In breast cancer patients receiving radiotherapy (RT), accurate target delineation and r...
OBJECTIVE: Left-ventricular (LV) strain measurements with the Displacement Encoding with Stimulated ...
PURPOSE: The aim of the study was to develop and validate a deep learning radiomic nomogram (DLRN) f...
Recently, artificial intelligence technologies and algorithms have become a major focus for advancem...
Deep learning is becoming increasingly popular and available to new users, particularly in the medic...
Breast cancer continues to be a widespread health concern all over the world. Mammography is an impo...
This study aims to demonstrate a low-cost camera-based radioluminescence imaging system (CRIS) for h...
Human mobility is a primary driver of infectious disease spread. However, existing data is limited i...
Left-ventricular (LV) strain measurements with the Displacement Encoding with Stimulated Echoes (DEN...
Natural language processing (NLP), which aims to convert human language into expressions that can be...
Computed tomography (CT) provides information for diagnosis, PET attenuation correction (AC), and ra...
PURPOSE: Novel actuarial deep learning neural network (ADNN) architectures are proposed for joint pr...
Worldwide, the burden of cancer is drastically increasing over the past few years. Among all types o...