Results 271 to 280 of about 38,413 (310)
Some of the next articles are maybe not open access.

Cancer Statistics, 2021

Ca-A Cancer Journal for Clinicians, 2021
Rebecca L Siegel, Kimberly D Miller
exaly  

Cancer statistics, 2022

Ca-A Cancer Journal for Clinicians, 2022
Rebecca L Siegel   +2 more
exaly  

An overview of real‐world data sources for oncology and considerations for research

Ca-A Cancer Journal for Clinicians, 2022
Lynne Penberthy   +2 more
exaly  

Data Hiding in Images

2003
Virtually all sophisticated steganographic methods hide a message by embedding it as low-level noise in an image or audio file which then becomes the cover file. This approach has two disadvantages: the information hiding capacity of a cover file is small, so a large cover file is needed to hide a substantial amount of data; and once data are hidden in
openaire   +1 more source

Cancer statistics, 2023

Ca-A Cancer Journal for Clinicians, 2023
Rebecca L Siegel   +2 more
exaly  

Data Hiding

2016
Brett Shavers, John Bair
openaire   +1 more source

Data Hiding in Text

2003
Today, in the digital age, any type of data, such as text, images, and audio, can be digitized, stored indefinitely, and transmitted at high speeds. Notwithstanding these advantages, digital data also have a downside. They are easy to access illegally, tamper with, and copy for purposes of copyright violation.
openaire   +1 more source

Innovations in research and clinical care using patient‐generated health data

Ca-A Cancer Journal for Clinicians, 2020
H S L Jim   +2 more
exaly  

Cancer statistics, 2020

Ca-A Cancer Journal for Clinicians, 2020
Rebecca L Siegel, Kimberly D Miller
exaly  

Data Security Using Data Hiding

International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007), 2007
S.K. Moon, R.S. Kawitkar
openaire   +1 more source

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