Results showed that the proposed algorithm showed excellent security performance, and it is immune to noise attack, occlusion attack, and all common cryptographic attacks. The proposed algorithm was tested on a list of medical images. Finally, the encrypted image is got after recombining DNA chains of different lengths.
After that, row and column deletion operation and transposition operation of DNA dynamic chain are carried out, respectively, which made DNA chain matrix double shuffle. Second, DNA sequence matrices are dynamically segmented into DNA chains of different lengths. First, the original image is encoded dynamically according to the binary bit from a pixel, and the DNA sequence matrix is scrambled. This article proposed a new image protection algorithm based on the deoxyribonucleic acid chain of dynamic length, which achieved image encryption by DNA dynamic coding, generation of DNA dynamic chain, and dynamic operation of row chain and column chain. Older people spend, on average, almost 10 waking hours in an immobile posture. We wish to identify sedentary lifestyle and target its effects.Current image encryption algorithms have various deficiencies in effectively protecting medical images with large storage capacity and high pixel correlation. Sedentary time has a particularly strong effect on mortality risk later in life. The interpretation of physical activity wearable data and its relation with metabolic and brain health in older adultsĪlthough average human life expectancy has doubled in most developed countries in the last 200 years, 16-20% of life is spent in late-life disability and disease. This PhD project is funded by Sanquin, a non-profit organization, mostly known for collecting blood products from donors and supplying them to patients in the Netherlands. Meta‐modelling: development of methods and tools for the exchange, analysis and communication of anonymised patient data
#MEDICAL HYPERIMAGE DATABASE UPDATE#
The aim of the study is to assess whether the publication of the review by EMA and the legally binding decision to update the product information in January 2014, led to a change in CHC prescription patterns in Europe and, if so, if there was a subsequent change in the incidence rate of VTE.
Study of utilisation of combined hormonal contraceptives in Europe Over the past decade, several novel types of spatially resolved "omics imaging" data have become available.
Mortality and HyperImage: Visual analytics techniques for biomarker discovery in massive 3D-omics datasets This project is a collaboration between the Department of Neurology at the LUMC and the Explanatory Data Analysis group at the LIACS where we focus on making eHealth-based, personalized predictions for migraine attacks or stroke risk with the use of machine learning and AI. A keys aspect in this is the data interpretation. Giving patients the opportunity to carry their own diagnostics tools not only improves care through more timely measurements, but also reduces costs of (unnecessary) hospital visits. Data Science Research Projects AI in Neuroscience: Development of Methods to make Personalized Predictions for Migraine and Stroke from E-Health Sensor DataĮHealth is revolutionizing the healthcare system. Its unique research practice, ranging from pure fundamental medical research to applied clinical research, places LUMC among the world top.This enables LUMC to offer patient care and education that is in line with the latest international insights and standards – and helps it to improve medicine and healthcare both internally and externally. LUMC is a modern university medical center for research, education and patient care with a high quality profile and a strong scientific orientation.
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