Results 301 to 310 of about 53,608 (389)
Towards next-generation DNA encryption via an expanded genetic system. [PDF]
Huang X+9 more
europepmc +1 more source
Abstract Purpose The purpose of this study was to collect data on current practices for teaching and assessing professionalism in CAMPEP‐accredited residency programs. Methods A survey of 21 questions was sent to 160 program directors (PDs) of CAMPEP‐accredited residency programs.
Anna Rodrigues+5 more
wiley +1 more source
Security-oriented steganographic payload allocation for multi-remote sensing images. [PDF]
Wu T, Hu X, Liu C.
europepmc +1 more source
Adaptive Randomization in Image Steganography Pertaining to Most Significant Nibble
Ravuru Rakesh+3 more
openalex +1 more source
Evaluation of internal target volume of abdominal tumors using cine‐MRI
Abstract Introduction The detailed anatomy visualization with magnetic resonance (MR)‐guided radiotherapy is particularly attractive for abdominal treatments, but patient respiratory motion can compromise image quality. The “navigator technique” produces high‐quality 3D images, triggered by diaphragm displacement, in exhale phase only.
Jessica Lye+8 more
wiley +1 more source
A novel approach to secure communication in mega events through Arabic text steganography utilizing invisible Unicode characters. [PDF]
Khan EA.
europepmc +1 more source
Cyclic Combination Method For Digital Image Steganography With Uniform Distribution Of Message
Rajkumar Yadav, Ravi Saini, Kamaldeep
openalex +1 more source
Using deep learning generated CBCT contours for online dose assessment of prostate SABR treatments
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
High-capacity data hiding for medical images based on the mask-RCNN model. [PDF]
Saidi H, Tibermacine O, Elhadad A.
europepmc +1 more source