Latest AI and machine learning research in lung cancer for healthcare professionals.
In this paper we present a method for simultaneously segmenting brain tumors and an extensive set of...
BACKGROUND: Lung adenocarcinoma is the most common type of lung cancers. Whole-genome sequencing stu...
In this study, we compared the long-term oncological and functional outcomes of laparoscopic partial...
As one of the most common malignancies in the world, lung adenocarcinoma (LUAD) is currently difficu...
INTRODUCTION: Functional image-guided radiotherapy (RT) planning for normal lung avoidance has recen...
Stereotactic body radiation therapy (SBRT) is a relatively novel treatment modality, with little pos...
Classification of histologic patterns in lung adenocarcinoma is critical for determining tumor grade...
The cytokinesis-block micronucleus (CBMN) assay has become a fully-validated and standardized method...
PURPOSE: In recent years, health risks concerning high-dose x-ray radiation have become a major conc...
Magnetic resonance imaging (MRI)-only radiotherapy treatment planning is attractive since MRI provid...
The purpose of the study was to compare the texture based discriminative performances between non-co...
With the advancement of treatment modalities in radiation therapy for cancer patients, outcomes have...
OBJECTIVE: To apply a novel methodology with machine learning (ML) to a large national cancer regist...
BACKGROUND AND PURPOSE: Radiation pneumonitis (RP) is a radiotherapy dose-limiting toxicity for loca...
Recent studies have shown that alterations in executive function and attention lead to balance cont...
OBJECTIVE: To assess the sensitivity and specificity of arteriovenous malformation (AVM) nidal compo...
PURPOSE: This study aims to adapt and evaluate the performance of different state-of-the-art deep le...
An efficient and precise liver extraction from computed tomography (CT) images is a crucial step for...
Abnormally short or long durations of sleep have been proposed as a risk factors for diabetes and i...
PURPOSE: Robotic stabilization of a therapeutic radiation beam with respect to a dynamically moving ...
PURPOSE: To investigate the use and efficiency of 3-D deep learning, fully convolutional networks (D...