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

Format:

Book

Contributor:

Razmjooy, Navid, 1987- editor.

Rajinikanth, Venkatesan, editor.

Institute of Physics (Great Britain), publisher.

Series:

IOP (Series). Release 22.

IOP series in artificial intelligence in the biomedical sciences.

IOP ebooks. 2022 collection.

[IOP release $release]

IOP series in artificial intelligence in the biomedical sciences

IOP ebooks. [2022 collection]

Language:

English

Subjects (All):

Diagnostic imaging.

Artificial intelligence--Medical applications.

Artificial intelligence.

Diagnostic Imaging--methods.

Artificial Intelligence.

Medical Subjects:

Diagnostic Imaging--methods.

Artificial Intelligence.

Physical Description:

1 online resource (various pagings) : illustrations (some color).

Place of Publication:

Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : IOP Publishing, [2022]

System Details:

Mode of access: World Wide Web.

System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.

Biography/History:

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.

Summary:

This book is designed to consider the recent advancements in hospitals to diagnose various diseases accurately using AI-supported detection procedures.

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.

Notes:

"Version: 20221201"--Title page verso.

Includes bibliographical references.

Title from PDF title page (viewed on January 9, 2023).

Other Format:

Print version:

ISBN:

9780750340120

9780750340113

OCLC:

1358414099

Access Restriction:

Restricted for use by site license.