Pattern Recognition Techniques Applied to Biomedical Problems

 
 
Springer (Verlag)
  • erscheint ca. am 3. April 2020
 
  • Buch
  • |
  • Hardcover
  • |
  • X, 226 Seiten
978-3-030-38020-5 (ISBN)
 

This book covers pattern recognition techniques applied to various areas of biomedicine, including disease diagnosis and prognosis, and several problems of classification, with a special focus on-but not limited to-pattern recognition modeling of biomedical signals and images.

Multidisciplinary by definition, the book's topic blends computing, mathematics and other technical sciences towards the development of computational tools and methodologies that can be applied to pattern recognition processes.

In this work, the efficacy of such methods and techniques for processing medical information is analyzed and compared, and auxiliary criteria for determining the correct diagnosis and treatment strategies are recommended and applied.
Researchers in applied mathematics, the computer sciences, engineering and related fields with a focus on medical applications will benefit from this book, as well as professionals with a special interest in state-of-the-art pattern recognition techniques as applied to biomedicine.
1st ed. 2020
  • Englisch
  • Cham
  • |
  • Schweiz
Springer International Publishing
  • Für Beruf und Forschung
  • 45
  • |
  • 22 s/w Abbildungen, 45 farbige Abbildungen
  • |
  • 45 Illustrations, color; 22 Illustrations, black and white; X, 226 p. 67 illus., 45 illus. in color.
  • Höhe: 23.5 cm
  • |
  • Breite: 15.5 cm
978-3-030-38020-5 (9783030380205)
10.1007/978-3-030-38021-2
weitere Ausgaben werden ermittelt

Martha Refugio Ortiz-Posadas is a Professor at the Electrical Engineering Department, Universidad Autónoma Metropolitana, Iztapalapa, Mexico.



PROPOSED LIST OF CONTRIBUTORS and Table of CONTENT1. Castañeda-Villa, Norma: Clustering for discontinuous sounds imagingUniversidad Autónoma Metropolitana Iztapalapa. Mexico. Email: ncv@xanum.uam.mx2. Curilem-Saldías, Millaray: Seismic signals using neural networks and genetic algorithmsUniversidad de la Frontera. Chile. Email: millaray.curilem@ufrontera.cl3. Díaz-Villegas, Jorge: Cost Estimation Method for web-based softwareUniversidad de La Frontera. Chile. jorge.diaz@ufrontera.cl4. Figueroa-Saavedra, Rodolfo: A Methodology and Ionizing Radiation Device that Uses Metallic Nanoparticles for the Detection and Simultaneous Treatment of CancerUniversidad de La Frontera. Chile. Email: rodolfo.figueroa@ufrontera.cl5. Gentiletti, Gabriel: Brain-computer interface for simulated wheelchairUniversidad Nacional de Entre Ríos. Argentina. Email: gentiletti@gmail.com6. Jiménez-González, Aída: ICA algorithm for auditory potentials extractionUniversidad Autónoma Metropolitana Iztapalapa. Mexico. Email: aidaj@xanum.uam.mx7. Ortiz-Posadas, Martha: Computational tool for cleft palate rehabilitationUniversidad Autónoma Metropolitana Iztapalapa. Mexico. Email: posa@xanum.uam.mx8. Rosales-López, Alfonso: Pattern recognition for estimating the access to imaging services in public health system.Universidad Federal de Río de Janeiro. Brazil. Email: arosales.cr@gmail.com9. Ruíz-Shucloper, José: Mining patterns using similaritiesUniversidad de las Ciencias Informáticas. Cuba. Email: jshulcloper@uci.cu10. Simini, Franco: Knee Kinematics Assessment by videofluoroscopyUniversidad de la República. Uruguay. Email: simini@fing.edu.uy11. Valdés-Cristerna, Raquel: Radial-based network and active contour model for brain MRI segmentation.Universidad Autónoma Metropolitana Iztapalapa. Mexico. Email: ravc@xanum.uam.mx12. Vega-Alvarado, Leticia: Measuring mixing times in stirred vesselsUniversidad Nacional Autónoma de México. Mexico. Email: leticia.vega@ccadet.unam.mx13. Yañez-Suárez, Oscar: Data-driven brain MRI segmentation
This book covers pattern recognition techniques applied to various areas of biomedicine, including disease diagnosis and prognosis, and several problems of classification, with a special focus on-but not limited to-pattern recognition modeling of biomedical signals and images.
Multidisciplinary by definition, the book's topic blends computing, mathematics and other technical sciences towards the development of computational tools and methodologies that can be applied to pattern recognition processes.

In this work, the efficacy of such methods and techniques for processing medical information is analyzed and compared, and auxiliary criteria for determining the correct diagnosis and treatment strategies are recommended and applied.
Researchers in applied mathematics, the computer sciences, engineering and related fields with a focus on medical applications will benefit from this book, as well as professionals with a special interest in state-of-the-art pattern recognition techniques as applied to biomedicine.

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