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Frontiers of artificial intelligence in medical imaging / edited by Navid Razmjooy, Venkatesan Rajinikanth.

Contributor(s): Razmjooy, Navid, 1987- [editor.] | Rajinikanth, Venkatesan [editor.] | Institute of Physics (Great Britain) [publisher.].
Material type: materialTypeLabelBookSeries: IOP (Series)Release 22: ; IOP series in artificial intelligence in the biomedical sciences: ; IOP ebooks2022 collection: Publisher: Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : IOP Publishing, [2022]Description: 1 online resource (various pagings) : illustrations (some color).Content type: text Media type: electronic Carrier type: online resourceISBN: 9780750340120; 9780750340113.Subject(s): Diagnostic imaging | Artificial intelligence -- Medical applications | Diagnostic Imaging -- methods | Artificial Intelligence | Health systems & services | MEDICAL / Allied Health Services / Imaging TechnologiesAdditional physical formats: Print version:: No titleDDC classification: 616.0754 Online resources: Click here to access online Also available in print.
Contents:
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.
Abstract: This book is designed to consider the recent advancements in hospitals to diagnose various diseases accurately using AI-supported detection procedures.
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"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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