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Biomedical Signal and Image Processing with Artificial Intelligence

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...

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Korporativní autor: SpringerLink (Online service)
Další autoři: Paunwala, Chirag (Editor), Paunwala, Mita (Editor), Kher, Rahul (Editor), Thakkar, Falgun (Editor), Kher, Heena (Editor), Atiquzzaman, Mohammed (Editor), Noor, Norliza Mohd (Editor)
Médium: Elektronický zdroj E-kniha
Jazyk:angličtina
Vydáno: Cham : Springer International Publishing : Imprint: Springer, 2023.
Vydání:1st ed. 2023.
Edice:EAI/Springer Innovations in Communication and Computing,
Témata:
Signal processing.
Image processing.
Medical informatics.
Biomedical engineering.
Digital and Analog Signal Processing.
Image Processing.
Health Informatics.
Biomedical Engineering and Bioengineering.
On-line přístup:https://doi.org/10.1007/978-3-031-15816-2
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Obsah:
  • Introduction
  • Lung Classification for Covid-19
  • Inspection and Test in Hemodialysis arena
  • Applications of Artificial Intelligence in Medical Images Analysis
  • Parameter efficient Epileptic seizure detection
  • Early lung cancer detection by using an artificial intelligence system
  • Decision Making Biomedical Support Systems
  • Intelligent Image Segmentation Methods using Deep Convolutional Neural Networks
  • Early detection of Dyslexia
  • Artificial Intelligence Assisted Cardiac Signal Analysis for Heart Disease Prediction
  • An optimal model selection for COVID 19 disease classification
  • Histopathology Whole-Slide Image Analysis for Breast Cancer Detection
  • Analysis and Classification of Impaired Speech
  • Imaging technologies for early detection of breast cancer
  • VLSI implementation of sEMG based classification for muscle activity control
  • An Object Aware Hybrid U-Net for Breast Tumour Annotation
  • Guide to scrutinize the analysis tool for biomedical signals
  • Real-time COVID-19 Prediction using Chest X-ray and AI
  • Classification of Primary Benign and Primary Malignant Focal Liver Lesions in Spatial and NSCT domain
  • Ultrasound Image Analysis using AI
  • Conclusion.

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