Results 291 to 300 of about 53,608 (389)
Comprehensive clinical evaluation of novel 4DCT‐based lung function imaging methods
Abstract Purpose Methods have been developed that apply image processing to 4DCTs to generate 4DCT‐ventilation/perfusion lung imaging. Traditional methods for 4DCT‐ventilation rely on Hounsfield‐Unit (HU) density‐change methods and suffer from poor numerical robustness while not providing 4DCT‐perfusion data.
Ehsan Golkar+6 more
wiley +1 more source
FACSNet: Forensics aided content selection network for heterogeneous image steganalysis. [PDF]
Huang S, Zhang M, Kong Y, Ke Y, Di F.
europepmc +1 more source
Improved information security using robust Steganography system
Mamta Juneja, Parvinder singh Sandhu
openalex +2 more sources
Abstract Background The use of deep learning‐based auto‐contouring algorithms in various treatment planning services is increasingly common. There is a notable deficit of commercially or publicly available models trained on large or diverse datasets containing high‐dose‐rate (HDR) brachytherapy treatment scans, leading to poor performance on images ...
Andrew J. Krupien+8 more
wiley +1 more source
Multiple Multicolored 3D Polarization Knots Arranged along Light Propagation. [PDF]
Li Y+8 more
europepmc +1 more source
Abstract Purpose To assess the predictive capability of CT radiomics features for early recurrence (ER) of pancreatic ductal adenocarcinoma (PDAC). Methods Postoperative PDAC patients were retrospectively selected, all of whom had undergone preoperative CT imaging and surgery. Both patients with resectable or borderline‐resectable pancreatic cancer met
Xinze Du+7 more
wiley +1 more source
A Mellin transform based video steganography with improved resistance to deep learning steganalysis for next generation networks. [PDF]
R B S, G R M, Belavagi MC.
europepmc +1 more source
A Python package for fast GPU‐based proton pencil beam dose calculation
Abstract Purpose Open‐source GPU‐based Monte Carlo (MC) proton dose calculation algorithms provide high speed and unparalleled accuracy but can be complex to integrate with new applications and remain slower than GPU‐based pencil beam (PB) methods, which sacrifice some physical accuracy for sub‐second plan calculation.
Mahasweta Bhattacharya+4 more
wiley +1 more source
Deep learning for steganalysis: evaluating model robustness against image transformations. [PDF]
Alrusaini OA.
europepmc +1 more source
Abstract In radiation oncology, inter‐fractional dosimetry using optically stimulated luminescent detectors (OSLDs) ensures accurate plan delivery and patient safety. RadPro International GmbH's myOLSchip system, featuring a beryllium oxide (BeO) OSL dosimeter, reader, and eraser, was characterized and calibrated with a Varian Truebeam for in‐vivo ...
Heath Davis+3 more
wiley +1 more source