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Classification in BioApps

Automation of Decision Making

  • Nilanjan Dey
  • Amira S. Ashour
  • Surekha Borra

Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 26)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Machine Learning Based Detection and Classification

    1. Front Matter
      Pages 1-1
    2. Rohit Thanki, Surekha Borra, Nilanjan Dey, Amira S. Ashour
      Pages 3-32
    3. Padmavathi Kora, Ambika Annavarapu, Surekha Borra
      Pages 57-77
    4. Ricardo Vardasca, Lucia Vaz, Joaquim Mendes
      Pages 79-104
    5. G. Sudha Sadasivam, Sasirekaa Madhesu, O. Y. Mumthas, K. Dharani
      Pages 227-259
  3. Deep Learning and Fuzzy-based Computer Aided Diagnosis

    1. Front Matter
      Pages 261-261
    2. José N. Galveia, António Travassos, Francisca A. Quadros, Luís A. da Silva Cruz
      Pages 263-293
    3. Muhammad Imran Razzak, Saeeda Naz, Ahmad Zaib
      Pages 323-350
  4. Miscellaneous Applications

    1. Front Matter
      Pages 381-381
    2. Ambika Annavarapu, Surekha Borra, Padmavathi Kora
      Pages 383-406
    3. P. Vidyasree, Gudavalli Madhavi, S. Viswanadharaju, Surekha Borra
      Pages 407-447

About this book

Introduction

This book on classification in biomedical image applications presents original and valuable research work on advances in this field, which covers the taxonomy of both supervised and unsupervised models, standards, algorithms, applications and challenges.

Further, the book highlights recent scientific research on artificial neural networks in biomedical applications, addressing the fundamentals of artificial neural networks, support vector machines and other advanced classifiers, as well as their design and optimization.

In addition to exploring recent endeavours in the multidisciplinary domain of sensors, the book introduces readers to basic definitions and features, signal filters and processing, biomedical sensors and automation of biomeasurement systems. The target audience includes researchers and students at engineering and medical schools, researchers and engineers in the biomedical industry, medical doctors and healthcare professionals.

Keywords

Bio-medical signal/image analysis Decision support systems Machine learning Support vector machine Feature extraction and Feature selection Optimization algorithms

Editors and affiliations

  • Nilanjan Dey
    • 1
  • Amira S. Ashour
    • 2
  • Surekha Borra
    • 3
  1. 1.Department of Information TechnologyTechno India College of TechnologyKolkataIndia
  2. 2.Faculty of EngineeringTanta UniversityTantaEgypt
  3. 3.K.S. Institute of TechnologyBangaloreIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-65981-7
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-65980-0
  • Online ISBN 978-3-319-65981-7
  • Series Print ISSN 2212-9391
  • Series Online ISSN 2212-9413
  • Buy this book on publisher's site