Biomedical Signal and Image Processing with Artificial Intelligence
Biomedical Signal and Image Processing with Artificial Intelligence
Buch
- Herausgeber: Chirag Paunwala, Mita Paunwala, Rahul Kher, Norliza Mohd. Noor, Heena Kher, Mohammed Atiquzzaman, Falgun Thakkar
lieferbar innerhalb 2-3 Wochen
(soweit verfügbar beim Lieferanten)
(soweit verfügbar beim Lieferanten)
EUR 142,37*
Verlängerter Rückgabezeitraum bis 31. Januar 2025
Alle zur Rückgabe berechtigten Produkte, die zwischen dem 1. bis 31. Dezember 2024 gekauft wurden, können bis zum 31. Januar 2025 zurückgegeben werden.
- Springer Nature Switzerland, 01/2024
- Einband: Kartoniert / Broschiert, Paperback
- Sprache: Englisch
- ISBN-13: 9783031158186
- Bestellnummer: 11732299
- Umfang: 436 Seiten
- Nummer der Auflage: 24001
- Auflage: 1st edition 2023
- Gewicht: 736 g
- Maße: 235 x 155 mm
- Stärke: 22 mm
- Erscheinungstermin: 11.1.2024
Achtung: Artikel ist nicht in deutscher Sprache!
Weitere Ausgaben von Biomedical Signal and Image Processing with Artificial Intelligence
Klappentext
This book focuses on advanced techniques used for feature extraction, analysis, recognition, and classification in the area of biomedical signal and image processing. Contributions cover all aspects of artificial intelligence, machine learning, and deep learning in the field of biomedical signal and image processing using novel and unexplored techniques and methodologies. The book covers recent developments in both medical images and signals analyzed by artificial intelligence techniques. The authors also cover topics related to development based artificial intelligence, which includes machine learning, neural networks, and deep learning. This book will provide a platform for researchers who are working in the area of artificial intelligence for biomedical applications.Provides insights into medical signal and image analysis using artificial intelligence;
Includes novel and recent trends of decision support system for medical research;
Outlines employment of evolutionary algorithms for biomedical data, big data analysis for medical databases, and reliability, opportunities, and challenges in clinical data.