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Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis. Advances in ubiquitous sensing applications for healthcare

  • Book

  • July 2019
  • Elsevier Science and Technology
  • ID: 4772220

Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis covers the most current advances on how to apply classification techniques to a wide variety of clinical applications that are appropriate for researchers and biomedical engineers in the areas of machine learning, deep learning, data analysis, data management and computer-aided diagnosis (CAD) systems design. The book covers several complex image classification problems using pattern recognition methods, including Artificial Neural Networks (ANN), Support Vector Machines (SVM), Bayesian Networks (BN) and deep learning. Further, numerous data mining techniques are discussed, as they have proven to be good classifiers for medical images.

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Table of Contents

1. Classification of Unhealthy and Healthy Neonates in Neonatal Intensive Care Units Using Medical Thermography Processing and Artificial Neural Network 2. Use of Health-related Indices and Cassification Methods in Medical Data 3. Image Analysis for Diagnosis and Early Detection of Hepatoprotective Activity 4. Characterization of Stuttering Dysfluencies using Distinctive Prosodic and Source Features 5. A Deep Learning Approach for Patch-based Disease Diagnosis from Microscopic Images 6. A Breast Tissue Characterization Framework Using PCA and Weighted Score Fusion of Neural Network Classifiers 7. Automated Arrhythmia Classification for Monitoring Cardiac Patients Using Machine Learning Techniques 8. IoT-based Fluid and Heartbeat Monitoring For Advanced Healthcare

Authors

Nilanjan Dey Department of Computer Science & Engineering, Maulana Abul Kalam Azad JIS University, Agarpara, Kolkata, India.. Nilanjan Dey is an Associate Professor in the Department of Computer Science and Engineering, JIS University, Kolkata, India. He is a visiting fellow of the University of Reading, UK, and also holds the position of Adjunct Professor at Ton Duc Thang University, Ho Chi Minh City, Vietnam. Previously, he held the honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012-2015). He got his PhD from Jadavpur University in 2015. He is the Editor-in-Chief of the International Journal of Ambient Computing and Intelligence, IGI Global, USA. He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing (Springer Nature), Data-Intensive Research (Springer Nature), Advances in Ubiquitous Sensing Applications for Healthcare (Elsevier). He is an associate editor of IET Image Processing (Wiley) and an editorial board member of Complex & Intelligent Systems (Springer Nature), Applied Soft Computing (Elsevier), and more. He has written 110 books and over 300 other publications in the areas of medical imaging, machine learning, computer aided diagnosis, data mining, etc. His works have been cited over 15,000 times. He is India's Ambassador to the International Federation for Information Processing-Young ICT Group and a senior member of IEEE.