Machine Learning in Medical Imaging and Computer Vision (Healthcare Technologies) - Hardcover

Hardcover

ISBN 10: 1839535938 ISBN 13: 9781839535932

Verlag: Institute of Electrical Engineers, 2024

Inhaltsangabe

This edited book explores new and emerging technologies in the field of medical image processing using deep learning models, neural networks and machine learning architectures. Multimodal medical imaging and optimisation techniques are discussed in relation to the advances, challenges and benefits of computer-aided diagnoses.

Über diesen Titel

Über die Autorinnen und Autoren

Amita Nandal is an Associate Professor in the Department of Computer and Communication Engineering, Manipal University Jaipur, India. She has authored or co-authored over 40 scientific articles in the area of image processing, wireless communication, and parallel architectures. Her research interests include image processing, machine learning, deep learning, and digital signal processing.

Liang Zhou is an Associate Professor at the Shanghai University of Medicine & Health Sciences, China. He received his PhD degree from the Donghua University, Shanghai, China, in 2012. His research interests are focused in the areas of big data analysis and machine learning with applications in the field of medicine and healthcare.

Arvind Dhaka is an Associate Professor in the Department of Computer and Communication Engineering, Manipal University Jaipur, India. He has authored or co-authored over 40 scientific articles in the area of image processing, wireless communication, and network security. His research interests include image processing, machine learning, wireless communication, and wireless sensor networks.

Todor Ganchev is a Professor in the Department of Computer Science and Engineering and the Head of the Artificial Intelligence Laboratory at the Technical University of Varna, Bulgaria. He has authored/co-authored over 180 publications in topics, including biometrics, physiological signal processing, machine learning and its applications. He is a senior member of the Institute of Electrical and Electronics Engineers (IEEE).

Farid Nait-Abdesselam is a Professor in the School of Science and Engineering at the University of Missouri Kansas City, USA. His research interests include security and privacy, networking, internet of things, and healthcare systems. He has authored/co-authored over 150 research papers in these areas.

Details zur Ausgabe

• Verlag: Institute of Electrical Engineers
• Erscheinungsdatum: 2024
• ISBN 10: 1839535938
• ISBN 13: 9781839535932
• Einband: Tapa dura
• Sprache: Englisch
• Anzahl der Seiten: 386
• Herausgeber: Nandal Amita, Zhou Liang, Dhaka Arvind
• Kontakt zum Hersteller: Nicht verfügbar