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020 _a9783030237622
024 7 _a10.1007/978-3-030-23762-2
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aR858
_b2019 EB
245 0 0 _aInformation technology in biomedicine
_cedited by Ewa Pietka, Pawel Badura, Jacek Kawa, Wojciech Wieclawek
250 _aFirst edition
264 1 _aCham
_bSpringer International Publishing
_c2019
300 _a1 recurso en línea (XII, 653 páginas)
_b264 ilustraciones, 202 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 1 _aAdvances in Intelligent Systems and Computing
_x2194-5357
_v1011
490 0 _aTechnologies and Robotics (Springer-42732)
505 0 _aChapter 1. Functional Thermal Imaging of Skin Tissue Using the Discrete Thermal Time Constants Spectrum -- Chapter 2.Contextual Classification of Tumor Growth Patterns in Digital Histology Slides -- Chapter 3. Cervical Histopathology Image Classification 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.
520 3 _aThis 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 Diagnosis Data Mining Tools and Methods in Medical Applications Image Analysis Analytics in Action on SAS Platform Biocybernetics in Physiotherapy Signal Processing and Analysis Medical Tools & Interfaces Biomechanics 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.
650 7 _2embne
_aCiencias biomédicas
_xTecnología de la información
_9143729
650 7 _2embne
_aMedicina
_xProceso de datos
_9405021
650 7 _2embne
_aTecnología médica
_9150466
700 1 _aPietka, Ewa
_eeditor
_4http://id.loc.gov/vocabulary/relators/edt
_999650
700 1 _aBadura, Pawel
_eeditor
_4http://id.loc.gov/vocabulary/relators/edt
_999651
700 1 _aKawa, Jacek
_eeditor
_4http://id.loc.gov/vocabulary/relators/edt
_999652
700 1 _aWieclawek, Wojciech
_eeditor
_4http://id.loc.gov/vocabulary/relators/edt
_999653
776 0 8 _iPrinted edition:
_z9783030237615
776 0 8 _iPrinted edition:
_z9783030237639
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-23762-2
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _aSI
_cm
_dz
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