Latest AI and machine learning research in lung cancer for healthcare professionals.
BACKGROUND: Robot-assisted lobectomy has been used to treat non-small cell lung cancer and usually u...
BACKGROUND: Organs at risk (OARs) delineation is a crucial step of radiotherapy (RT) treatment plann...
BACKGROUND: We describe and evaluate a deep network algorithm which automatically contours organs at...
To compare the quality of CT images of the lung reconstructed using deep learning-based reconstructi...
PURPOSE: Attenuation correction is a critically important step in data correction in positron emissi...
The use of deep learning (DL) to improve cone-beam CT (CBCT) image quality has gained popularity as ...
Background and Objectives: Although reducing the radiation dose level is important during diagnostic...
INTRODUCTION: It is estimated that around 50% of cancer patients require Radiotherapy (RT) at some p...
PURPOSE: The aim of this study was to evaluate the effect of salvage radiation therapy (sRT) on surv...
Bioluminescence imaging (BLI) is a valuable tool for non-invasive monitoring of glioblastoma multifo...
Background A preoperative CT-based deep learning (DL) prediction model was proposed to estimate dise...
BACKGROUND: High-grade adenocarcinoma subtypes (micropapillary and solid) treated with sublobar rese...
PURPOSE: Although surgery is the primary treatment for lung cancer, some patients experience recurre...
OBJECTIVES: To investigate whether deep learning reconstruction (DLR) could keep image quality and r...
Cancers are caused by genomic alterations that may be inherited, induced by environmental carcinogen...
Clinical PET/CT examinations rely on CT modality for anatomical localization and attenuation correct...
No published studies have evaluated the accuracy of volumetric measurement of solid nodules and grou...
We present a protocol which implements deep learning-based identification of the lung adenocarcinoma...
Microstructured materials that can selectively control the optical properties are crucial for the de...
BACKGROUND : There are several types of pancreatic mass, so it is important to distinguish between t...
Convolutional neural networks (CNNs) are revolutionizing digital pathology by enabling machine learn...