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Information technology in biomedicine

Pietka, Ewa.

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Information technology in biomedicine

Record Type:	Electronic resources : Monograph/item
Title/Author:	Information technology in biomedicine/ edited by Ewa Pietka ... [et al.].
other author:	Pietka, Ewa.
Published:	Cham :Springer International Publishing : : 2019.,
Description:	xii, 653 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 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.
Contained By:	Springer eBooks
Subject:	Medical informatics. -
Online resource:	https://doi.org/10.1007/978-3-030-23762-2
ISBN:	9783030237622

Information technology in biomedicine
Information technology in biomedicine[electronic resource] /edited by Ewa Pietka ... [et al.]. - Cham :Springer International Publishing :2019. - xii, 653 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v.10112194-5357 ;. - Advances in intelligent systems and computing ;v.1011..

Chapter 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.

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 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.

ISBN: 9783030237622

Standard No.: 10.1007/978-3-030-23762-2doiSubjects--Topical Terms:

661258
Medical informatics.

LC Class. No.: R858 / .I54 2019

Dewey Class. No.: 610.285

Information technology in biomedicine
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300 $a xii, 653 p. : $b ill., digital ; $c 24 cm.
490 1 $a Advances in intelligent systems and computing, $x 2194-5357 ; $v v.1011
505 0 $a Chapter 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 $a 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 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 0 $a Medical informatics. $3 661258
650 0 $a Medicine $x Data processing. $3 661309
650 0 $a Biotechnology $x Data processing. $3 923857
650 0 $a Biomedical engineering. $3 535387
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Biomedical Engineering and Bioengineering. $3 3381533
650 2 4 $a Health Informatics. $3 892928
650 2 4 $a Artificial Intelligence. $3 769149
700 1 $a Pietka, Ewa. $3 923856
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Advances in intelligent systems and computing ; $v v.1011. $3 3412270
856 4 0 $u https://doi.org/10.1007/978-3-030-23762-2
950 $a Intelligent Technologies and Robotics (Springer-42732)