Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes

Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes

Wahiba Ben Abdessalem Karâa (Taif University, Saudi Arabia & RIADI-GDL Laboratory, ENSI, Tunisia) and Nilanjan Dey (Department of Information Technology, Techno India College of Technology, Kolkata, India)
Release Date: November, 2015|Copyright: © 2016 |Pages: 414
ISBN13: 9781466688117|ISBN10: 1466688114|EISBN13: 9781466688124|DOI: 10.4018/978-1-4666-8811-7

Description

Every second, users produce large amounts of image data from medical and satellite imaging systems. Image mining techniques that are capable of extracting useful information from image data are becoming increasingly useful, especially in medicine and the health sciences.

Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes addresses major techniques regarding image processing as a tool for disease identification and diagnosis, as well as treatment recommendation. Highlighting current research intended to advance the medical field, this publication is essential for use by researchers, advanced-level students, academicians, medical professionals, and technology developers.

An essential addition to the reference material available in the field of medicine, this timely publication covers a range of applied research on data mining, image processing, computational simulation, data visualization, and image retrieval.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Biomedical Information Retrieval
  • Brain-Computer Interfaces
  • Computer-Aided Detection (CAD) and Diagnosis
  • Content-Based Image Retrieval
  • Medical and Biological Imaging
  • Medical Images and Signal Analysis
  • Modeling, Simulation, and Visualization
  • Molecular and Cellular Image Analysis
  • Segmentation of Medical Images

Reviews and Testimonials

Mostly computer and information scientists address advanced techniques for biomedical image processing, information retrieval in biomedical images, and prediction and simulation in biomedical image mining. Among the topics are applying genetic algorithms in de-noising magnetic resonance images clouded with Rician noise, compressed sensing and its application in computed tomography and electro encephalography, mining medical trends using social networks, computational intelligence-based cell nuclei segmentation from pap smear images, and predicting and detecting epileptic seizure.

– ProtoView Reviews

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Wahiba Ben Abdessalem Karâa is assistant professor in the Department of Computer and Information Science at University of Tunis High Institute of Management. Since 2014, she has been assistant professor in the Department of Computer Science at the College of Computer and IT, Taif University, Saudi Arabia. She received the Master Degree from Paris III, New Sorbonne, France, and PhD, from Paris 7 Jussieu France. Her research interests include Natural language processing, text mining, image mining, and data mining. She is a member of the program committees of several International Conferences. She is a member of the Editorial Boards of several International Journals. She is the Editor in chief of the International Journal of Image Mining (IJIM), published by Inderscience.
Nilanjan Dey, PhD., is an Asst. Professor in the Department of Information Technology in Techno India College of Technology, Rajarhat, Kolkata, India. He holds an honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA and Research Scientist of Laboratory of Applied Mathematical Modeling in Human Physiology, Territorial Organization of Scientific and Engineering Unions, Bulgaria. He is the Managing Editor of International Journal of Image Mining (IJIM), Inderscience, Regional Editor-Asia of International Journal of Intelligent Engineering Informatics (IJIEI), Inderscience and Associated Editor ofInternational Journal of Service Science, Management, Engineering, and Technology, IGI Global. His research interests include: Medical Imaging, Soft computing, Data mining, Machine learning, Rough set, Mathematical Modeling and Computer Simulation, Modeling of Biomedical Systems, Robotics and Systems, Information Hiding, Security, Computer Aided Diagnosis, and Atherosclerosis. He has 8 books and 150 international conferences and journal papers. He is a life member of IE, UACEE, ISOC etc.