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Studies in Computational Intelligence

Hybrid Machine Intelligence for Medical Image Analysis

Editors: Bhattacharyya, S., Konar, D., Platos, J., Kar, C., Sharma, K. (Eds.)

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  • Covers a broad range of potential machine learning and computational intelligence paradigms for medical image analysis
  • Includes an in-depth analysis of hybrid machine intelligence supported by real-world examples
  • Supplemented by coding examples and video demonstrations for each chapter
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  • ISBN 978-981-13-8930-6
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Hardcover $179.99
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About this book

The book discusses the impact of machine learning and computational intelligent algorithms on medical image data processing, and introduces the latest trends in machine learning technologies and computational intelligence for intelligent medical image analysis. The topics covered include automated region of interest detection of magnetic resonance images based on center of gravity; brain tumor detection through low-level features detection; automatic MRI image segmentation for brain tumor detection using the multi-level sigmoid activation function; and computer-aided detection of mammographic lesions using convolutional neural networks.

About the authors

Siddhartha Bhattacharyya completed his Ph.D. in Computer Science and Engineering at Jadavpur University, India, in 2008. Currently he is the Principal of RCC Institute of Information Technology, Kolkata, India. In addition, he is a Professor of Computer Application and Dean (Research and Development) of the institute. He served as the Editor-in-Chief of the International Journal of Ambient Computing and Intelligence (IJACI), published by IGI Global. He is the Associate Editor of the International Journal of Pattern Recognition Research, IEEE Access, Evolutionary Intelligence and a member of Applied Soft Computing editorial board. His research interests include soft computing, pattern recognition, hybrid intelligence and quantum computing, and he has published over 230 research articles and patents.

Debanjan Konar is an Assistant Professor at the Department of Computer Science and Engineering at Sikkim Manipal Institute of Technology, India. He is pursuing his Ph.D. at the Indian Institute of Technology, Delhi in Quantum Inspired Soft Computing. His research interests include quantum inspired soft computing, deep learning, machine learning, and natural language processing. He has published several papers in these areas in leading journals and IEEE international conferences. He is also a reviewer for various international journals and conferences.

Chinmoy Kar is an Assistant Professor at the Department of Computer Science and Engineering, Sikkim Manipal Institute of Technology, and is pursuing his Ph.D. in Image Recognition at the Maulana Abul Kalam Azad University of Technology. His research interests include image processing and computational intelligence, and he actively publishes in these areas.

Kalpana Sharma is a Professor and Head of the Department of Computer Science and Engineering at SMI. She completed her Ph.D. Wireless Sensor Network Security at Manipal University in 2011. Her research interests include wireless sensor networks, security and real time systems.

Jan Platos received his Master’s degree in Computer Science from the VSB-Technical University of Ostrava in the Czech Republic in 2006 and his Ph.D. in Applied Mathematics from the same university in 2010. Currently, Jan is an Assistant Professor at the Department of Computer Science, Faculty of Electrical Engineering and Computer Science at the VSB-Technical University of Ostrava. Jan is interested in various areas of computer science, including data compression and bio-inspired algorithms, information retrieval, data mining, data structures and data prediction. Jan is the co-author of more than 160 scientific papers published in proceedings and journals.

 



Table of contents (11 chapters)

Table of contents (11 chapters)
  • Content-Based Medical Visual Information Retrieval

    Pages 1-19

    Das, Pranjit (et al.)

  • Pixel N-Grams Representation for Medical Image Classification

    Pages 21-40

    Kulkarni, Pradnya (et al.)

  • Penalized Fuzzy C-Means Enabled Hybrid Region Growing in Segmenting Medical Images

    Pages 41-65

    Chakraborty, Shouvik (et al.)

  • Classification of Diabetic Retinopathy Based on Segmentation of Medical Images

    Pages 67-83

    Mishra, Pavan Kumar (et al.)

  • A New Hybrid Adaptive Cuckoo Search-Squirrel Search Algorithm for Brain MR Image Analysis

    Pages 85-117

    Agrawal, Sanjay (et al.)

Buy this book

eBook $109.00
price for USA in USD (gross)
  • ISBN 978-981-13-8930-6
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.99
price for USA in USD
  • ISBN 978-981-13-8929-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Hybrid Machine Intelligence for Medical Image Analysis
Editors
  • Siddhartha Bhattacharyya
  • Debanjan Konar
  • Jan Platos
  • Chinmoy Kar
  • Kalpana Sharma
Series Title
Studies in Computational Intelligence
Series Volume
841
Copyright
2020
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-13-8930-6
DOI
10.1007/978-981-13-8930-6
Hardcover ISBN
978-981-13-8929-0
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XVI, 293
Number of Illustrations
65 b/w illustrations, 114 illustrations in colour
Topics