Results 191 to 200 of about 794,564 (269)
Using deep learning generated CBCT contours for online dose assessment of prostate SABR treatments
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Prostate Stereotactic Ablative Body Radiotherapy (SABR) is an ultra‐hypofractionated treatment where small setup errors can lead to higher doses to organs at risk (OARs). Although bowel and bladder preparation protocols reduce inter‐fraction variability, inconsistent patient adherence still results in OAR variability.
Conor Sinclair Smith +8 more
wiley +1 more source
The Effect of General Relevance Instructions on Shallow and Deeper Learning and Reading Time
, 2006 Matthew T. McCrudden +2 more
openalex +2 more sources
Restricted Deep Belief Networks for Multi-view Learning [PDF]
, 2011 Yoonseop Kang, Seungjin Choi
openalex +1 more source
Machine stability and dosimetry for ultra‐high dose rate FLASH radiotherapy human clinical protocol
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Background The FLASH effect, induced by ultra‐high dose rate (UHDR) irradiations, offers the potential to spare normal tissue while effectively treating tumors. It is important to achieve precise and accurate dose delivery and to establish reliable detector systems, particularly for clinical trials needed to help the clinical transfer of FLASH‐
Patrik Gonçalves Jorge +9 more
wiley +1 more source
An efficient strawberry segmentation model based on Mask R-CNN and TensorRT
Artificial Intelligence in AgricultureCurrently, artificial intelligence (AI), particularly computer vision (CV), has numerous applications in agriculture. In this field, the production and consumption of strawberries have experienced great growth in recent years, which makes meeting the ...
Anthony Crespo +3 more
doaj
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Background Tumor segmentation is crucial for lung disease diagnosis and treatment. Most existing deep learning‐based automatic segmentation methods rely on manually annotated data for network training. Purpose This study aims to develop an unsupervised tumor segmentation network smic‐GAN by using a similarity‐driven generative adversarial ...
Chengyijue Fang +2 more
wiley +1 more source
Results in EngineeringInvestigating pulley wireway systems equipped with friction dampers as alternatives to traditional exposed raceway light fixtures, this study adheres to the ICC-ES AC156 standard and evaluates the impact of system mass and connector types on seismic ...
Tran-Van Han +4 more
doaj
The Experience of Deep Learning by Accounting Students in a University Accounting Course [PDF]
, 2011 Martin Turner
openalex +1 more source
Synthesis of electric vehicle charging data: A real-world data-driven approach
Communications in Transportation ResearchNowadays, electric vehicles (EVs) are increasingly equipped with advanced onboard devices capable of collecting and recording real-time charging data.
Zhi Li +4 more
doaj
Claustrum Volume Is Reduced in Multiple Sclerosis and Predicts Disability
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective The claustrum is a small, thin structure of predominantly gray matter with broad connectivity and enigmatic function. Little is known regarding the impact of claustrum pathology in multiple sclerosis (MS). Methods This study assessed whether claustrum volume was reduced in MS and whether reductions were associated with specific ...
Nicole Shelley +5 more
wiley +1 more source