Latest AI and machine learning research in lung cancer for healthcare professionals.
Obtaining accurate data on reference crop evapotranspiration (ET) is important for agricultural wate...
Prostate cancer is a leading cause of morbidity and mortality for adult males in the US. The diagnos...
Background Conventional radiologic modalities perform poorly in the radiated rectum and are often un...
Small cell lung cancer (SCLC) is a particularly aggressive tumor subtype, and dihydroorotate dehydro...
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: External beam radiotherapy (EBRT) treatment planning requires a fast and accurate method of...
PURPOSE: Electromagnetic tracking (EMT) can partially replace X-ray guidance in minimally invasive p...
BACKGROUND AND OBJECTIVE: Colon cancer is a fatal disease, and a comprehensive understanding of the ...
Tumor histology is an important predictor of therapeutic response and outcomes in lung cancer. Tissu...
BACKGROUND: It is very important to accurately delineate the CTV on the patient's three-dimensional ...
Exposure to appropriate doses of UV radiation provides enormously health and medical treatment benef...
The squamous cell carcinoma of the lung (SCLC) is one of the most common types of lung cancer. As GL...
BACKGROUND: In breast cancer patients receiving radiotherapy (RT), accurate target delineation and r...
Recently, artificial intelligence technologies and algorithms have become a major focus for advancem...
Thoracolaparoscopic esophagectomy (TLE) for carcinoma esophagus has better short-term outcomes compa...
Deep learning for digital pathology is hindered by the extremely high spatial resolution of whole-sl...
Deep learning is becoming increasingly popular and available to new users, particularly in the medic...
OBJECTIVE: The study objective was to investigate if machine learning algorithms can predict whether...
Radiogenomics uses machine-learning (ML) to directly connect the morphologic and physiological appea...
Human mobility is a primary driver of infectious disease spread. However, existing data is limited i...