Frontiers of Artificial Intelligence in Medical Imaging
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Frontiers of Artificial Intelligence in Medical Imaging: (IOP ebooks)

Frontiers of Artificial Intelligence in Medical Imaging: (IOP ebooks)


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About the Book

Table of Contents:
Preface Acknowledgment Editor Biography List of Contributors 1 Health informatics system 2 Medical-imaging-supported disease diagnosis 3 Traditional and AI-based data enhancement 4 Computer-aided-scheme for automatic classification of brain MRI slices into normal/Alzheimer’s disease 5 Design of a system for melanoma diagnosis using image processing and hybrid optimization techniques 6 Evaluation of COVID-19 lesion from CT scan slices: a study using entropy-based thresholding and DRLS segmentation 7 Automated classification of brain tumors into LGG/HGGusing concatenated deep and handcrafted features 8 Detection of brain tumors in MRI slices using traditionalfeatures with AI scheme: a study 9 Framework to classify EEG signals into normal/schizophrenic classes with machine-learning scheme 10 Computerized classification of multichannel EEG signals intonormal/autistic classes using image-to-signal transformation

About the Author :
Navid Razmjooy is a Postdoc researcher at the industrial college of the Ankara Yıldırım Beyazıt Üniversitesi, Turkey. He is also a part-time assistant professor at the Islamic Azad University, Ardabil, Iran, and a part-time researcher at the Department of Computer Science and Engineering, Division of Research and Innovation, Saveetha School of Engineering, SIMATIC, India. His main areas of research are Renewable Energies, Machine Vision, Soft Computing, Data Mining, Evolutionary Algorithms, Interval Analysis, and System Control. Navid Razmjooy studied for his Ph.D. in the field of Electrical Engineering (Control and Automation) at Tafresh University, Iran (2018). He is a senior member of IEEE/USA and YRC in IAU/Iran. He has been ranked among the world's top 2% of scientists in the world based on the Stanford University/Scopus database. He published more than 200 papers and 6 books in English and Persian in peer-reviewed journals and conferences and is now Editor and reviewer in several national and international journals and conferences which can be found at https://www.webofscience.com/wos/author/rid/D-4912-2012. More information can be found at: https://www.researchgate.net/profile/Navid_Razmjooy. Venkatesan Rajinikanth, is a Professor, Department of Computer Science and Engineering, Saveetha School of Engineering, SIMATIC, Chennai, India. He has published over 70 referred journal articles, largely related to medical imaging and image reconstruction through the utilization of machine learning. He has co-edited three books and co-authored one book, “Hybrid Image Processing Methods”, CRC Press 2020.


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Product Details
  • ISBN-13: 9780750340113
  • Publisher: Institute of Physics Publishing
  • Publisher Imprint: Institute of Physics Publishing
  • Language: English
  • Series Title: IOP ebooks
  • ISBN-10: 0750340118
  • Publisher Date: 29 Dec 2022
  • Binding: Digital (delivered electronically)
  • Series Title: IOP Series in Artificial Intelligence in the Biomedical Sciences


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