Frontiers of artificial intelligence in medical imaging /
"Version: 20221201"--Title page verso.Includes bibliographical references.1. Health informatics system / Navid Razmjooy and Venkatesan Rajinikanth -- 2. Medical-imaging-supported disease diagnosis / Navid Razmjooy and Venkatesan Rajinikanth -- 3. Traditional and AI-based data enhancement / Navid Razmjooy and Venkatesan Rajinikanth -- 4. Computer-aided-scheme for automatic classification of brain MRI slices into normal/Alzheimer's disease / Seifedine Kadry -- 5. Design of a system for melanoma diagnosis using image processing and hybrid optimization techniques / Venkatesan Rajinikanth, Navid Razmjooy and Noradin Ghadimi -- 6. Evaluation of COVID-19 lesion from CT scan slices : a study using entropy-based thresholding and DRLS segmentation / Hong Lin -- 7. Automated classification of brain tumors into LGG/HGG using concatenated deep and handcrafted features / J. Sivakumar, S. Rajesh Kannan and K. Suresh Manic -- 8. Detection of brain tumors in MRI slices using traditional features with AI scheme : a study / K. Suresh Manic, Ali Saud Al-Bimani and Uma Suresh -- 9. Framework to classify EEG signals into normal/schizophrenic classes with machine-learning scheme / Venkatesan Rajinikanth and Seifedine Kadry -- 10. Computerized classification of multichannel EEG signals into normal/autistic classes using image-to-signal transformation / Venkatesan Rajinikanth and Seifedine Kadry.This book is designed to consider the recent advancements in hospitals to diagnose various diseases accurately using AI-supported detection procedures.Medical imaging laboratories and related research centers.Also available in print.Mode of access: World Wide Web.System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.Navid Razmjooy is a Postdoc researcher at the industrial college of the Ankara Beyaz Universitesi, Turkey. Venkatesan Rajinikanth, is a Professor, Department of Computer Science and Engineering, Saveetha School of Engineering, SIMATIC, Chennai, India.Title from PDF title page (viewed on January 9, 2023).
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