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Search results for: medical data
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Data Technologies and Applications
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Journal on Data Semantics
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Geoscience Data Journal
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EPJ Data Science
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Biodiversity Data Journal
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Intelligent Data Analysis
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Data Science Journal
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Transactions on Data Privacy
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Health data management
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Data Science and Engineering
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Methods Data Analyses
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Chemical Data Collections
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NCHS data brief
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Annals of Data Science
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Data Science and Management
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Data-Centric Engineering
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Foundations of Data Science
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Frontiers in Big Data
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Big Earth Data
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NUCLEAR DATA SHEETS
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BMC Genomic Data
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LIFETIME DATA ANALYSIS
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ColorNephroNet: Kidney tumor malignancy prediction using medical image colorization
PublicationRenal tumor malignancy classification is one of the crucial tasks in urology, being a primary factor included in the decision of whether to perform kidney removal surgery (nephrectomy) or not. Currently, tumor malignancy prediction is determined by the radiological diagnosis based on computed tomography (CT) images. However, it is estimated that up to 16% of nephrectomies could have been avoided because the tumor that had been...
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Computational Methods for Liver Vessel Segmentation in Medical Imaging: A Review
PublicationThe segmentation of liver blood vessels is of major importance as it is essential for formulating diagnoses, planning and delivering treatments, as well as evaluating the results of clinical procedures. Different imaging techniques are available for application in clinical practice, so the segmentation methods should take into account the characteristics of the imaging technique. Based on the literature, this review paper presents...
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Antibiotic loaded microspheres as antimicrobial delivery systems for medical applications
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Advances of thermal tomography in non-destructive testing and medical diagnostics
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GaAs ballistic and tunneling nanodevices for terahertz electronics and medical applications
PublicationPrzy użyciu selektywnej epitaksji warstw molekularnych (MLE) wytworzono w GaAs balistyczne i tunelowe tranzystory o indukcji elektrostatycznej (SIT), z kanałami w skali 10 nm. Szacowany czas przelotu elektronów jest krótszy od 2×10-14 s. Metoda MLE została również wykorzystana do wykonania diod generacyjnych TUNNETT działających w oparciu o czas przelotu i tunelowe wstrzykiwanie elektronów. Z użyciem diod TUNNETT wygenerowano częstotliwość...
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Automatic Credibility Assessment of Popular Medical Articles Available Online
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Exploring methods and tools for estimating and measuring medical staff shortages
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Optical excitation methods in active dynamic thermography in medical diagnostics.
PublicationArtykuł zawiera opis metod pobudzania cieplnego badanych obszarów ciała ludzkiego w technice aktywnej termografii dynamicznej. Jako źródła pobudzenia cieplnego mogą być stosowane lampy podczerwieni, lampy halogenowe dużej mocy, a także lasery. W artykule opisano również algorytmy obliczeń obrazów parametrycznych.
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Evaluation of new diagnostic procedures of medical thermography - invivo experiments.
PublicationPrzedstawiono analizę możliwości i ograniczeń metod termograficznych w diagnostyce i klasyfikacji oparzeń. Przeanalizowane termiczne modele numeryczne tkanki oparzonej pokazują, iż zastosowanie nowej metody aktywnej termografii dynamicznej z termicznym wymuszeniem zewnętrznym, może znacząco poprawić skuteczność klasyfikacji oparzeń do dalszego postępowania leczniczego. Zaproponowana metoda wymaga dalszych badań, zarówno...
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Epidemiology of Cranio-Cerebral Injuries in Emergency Medical Services Practice
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Healthcare Supply Chain Reliability: The Case of Medical Air Transport
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Trustworthy Applications of ML Algorithms in Medicine - Discussion and Preliminary Results for a Problem of Small Vessels Disease Diagnosis.
PublicationML algorithms are very effective tools for medical data analyzing, especially at image recognition. Although they cannot be considered as a stand-alone diagnostic tool, because it is a black-box, it can certainly be a medical support that minimize negative effect of human-factors. In high-risk domains, not only the correct diagnosis is important, but also the reasoning behind it. Therefore, it is important to focus on trustworthiness...
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Quantitative Active Dynamic Thermal IR-Imaging and Thermal Tomography in Medical Diagnostic
PublicationPrinciples of Active dynamic thermal (ADT) IR-imaging and Thermal Tomography are described in details. Basic medical applications of this new modality are also discussed.
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A survey of automatic speech recognition deep models performance for Polish medical terms
PublicationAmong the numerous applications of speech-to-text technology is the support of documentation created by medical personnel. There are many available speech recognition systems for doctors. Their effectiveness in languages such as Polish should be verified. In connection with our project in this field, we decided to check how well the popular speech recognition systems work, employing models trained for the general Polish language....
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Unsupervised Learning for Biomechanical Data Using Self-organising Maps, an Approach for Temporomandibular Joint Analysis
PublicationWe proposed to apply a specific machine learning technique called Self-Organising Maps (SOM) to identify similarities in the performance of muscles around human temporomandibular joint (TMJ). The performance was assessed by measuring muscle activation with the use of surface electromyography (sEMG). SOM algorithm used in the study was able to find clusters of data in sEMG test results. The SOM analysis was based on processed sEMG...
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Preparation, characterization, and manufacturing of new polymeric materials for 3D printing for medical applications
PublicationThis work concerns the synthesis, formation, and characteristics of new filaments for 3D printing in FDM™/FFF technology for medical purposes. Two types of filaments were developed, i.e. degradable polyurethane and biodegradable polylactide-starch. The influence of the 3D printing process on selected filament properties was investigated. A detailed analysis of the filament formation process by the extrusion method was carried out,...
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Data augmentation for improving deep learning in image classification problem
PublicationThese days deep learning is the fastest-growing field in the field of Machine Learning (ML) and Deep Neural Networks (DNN). Among many of DNN structures, the Convolutional Neural Networks (CNN) are currently the main tool used for the image analysis and classification purposes. Although great achievements and perspectives, deep neural networks and accompanying learning algorithms have some relevant challenges to tackle. In this...
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The Use of Liquid Crystal Thermography in Selected Technical and Medical Applications—Recent Development
PublicationThermochromic liquid crystals (TLC) and true-colour digital image processing have been successfully used in non-intrusive technical, industrial and biomedical studies and applications. Thin coatings of TLC at surfaces are utilized to obtain detailed temperature distributions and heat transfer rates for steady or transient processes. Liquid crystals also can be used to make the temperature and velocity fields in liquids visible...
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Effect of double thermal and electrochemical oxidation on titanium alloys for medical applications
PublicationThe research focuses on the development and characterization of innovative thin hybrid oxide coatings obtained in subsequent processes of thermal (TO) and electrochemical (EO) oxidation. Four different surface modifications were investigated and the microstructure was determined, the mechanical, chemical and biological properties of the Ti-13Nb-13Zr alloy were assessed using scanning electron microscopy, X-ray dispersion analysis,...
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<p>Experience of Polish Patients with Obesity in Contacts with Medical Professionals</p>
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White lie’ in medical practice from perspective of selected ethical theories
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Designing Emergency-Medical-Service Helicopter Interiors Using Virtual Manikins
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Porous Selective Laser Melted Ti and Ti6Al4V Materials for Medical Applications
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Medical Students' Voluntary Service During the COVID-19 Pandemic in Poland
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Determinants of primary healthcare patients’ dissatisfaction with the quality of provided medical services
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Composite and Surface Functionalization of Ultrafine-Grained Ti23Zr25Nb Alloy for Medical Applications
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Nutritional status and food choices among first year medical students
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Gelatin nanofibers: Recent insights in synthesis, bio-medical applications and limitations
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