Pietka / Badura / Kawa Information Technology in Biomedicine

1. Auflage 2019
ISBN: 978-3-030-23762-2
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 1011, 653 Seiten, eBook

Reihe: Advances in Intelligent Systems and Computing

This book provides a comprehensive overview of advances in the field of medical data science, presenting carefully selected articles by leading information technology experts. Information technology, as a rapidly evolving discipline in medical data science, with significant potential in future healthcare, and multimodal acquisition systems, mobile devices, sensors, and AI-powered applications has redefined the optimization of clinical processes. This book features an interdisciplinary collection of papers that have both theoretical and applied dimensions, and includes the following sections: Medical Data Science Quantitative Data Analysis in Medical DiagnosisData Mining Tools and Methods in Medical ApplicationsImage Analysis Analytics in Action on SAS Platform Biocybernetics in PhysiotherapySignal Processing and AnalysisMedical Tools & InterfacesBiomechanics and Biomaterials. As such, it is a valuable reference tool for scientists designing and implementing information processing tools used in systems that assist clinicians in patient care. It is also useful for students interested in innovations in quantitative medical data analysis, data mining, and artificial intelligence.

Zielgruppe

Research

Autoren/Hrsg.

Pietka, Ewa

Badura, Pawel

Kawa, Jacek

Wieclawek, Wojciech

Inhaltsverzeichnis

Chapter 1. Functional Thermal Imaging of Skin Tissue Using the Discrete Thermal Time Constants Spectrum.- Chapter 2.Contextual Classi?cation of Tumor Growth Patterns in Digital Histology Slides.- Chapter 3. Cervical Histopathology Image Classi?cation Using Ensembled Transfer Learning.- Chapter 4. Functional Kidney Analysis Based on Textured DCE-MRI Images.- Chapter 5. Incorporating Patient Photographs in the Radiology Image Acquisition & Interpretation Process.- Chapter 6. Iterative Statistical Reconstruction Algorithm Based on C-C Data Model with the Direct Use of Projections Performed in Spiral Cone-beam CT Scanners.- Chapter 7. Deformable Mesh for Regularization of Three-Dimensional Image Registration.- Chapter 8. Simulator for Modelling Confocal Microscope Distortions.- Chapter 9. Electromyography Based Translator of the Polish Sign Language.- Chapter 10. Electrooculography Application in Vision Therapy Using Smart Glasses.- Chapter 11.Assessment of Muscle Fatigue, Strength and Muscle Activation During Exercises with the Usage of Robot Luna EMG, Among Patients with Multiple Sclerosis.