Biomedical Signal and Image Processing with Artificial Intelligence / edited by Chirag Paunwala, Mita Paunwala, Rahul Kher, Falgun Thakkar, Heena Kher, Mohammed Atiquzzaman, Norliza Mohd. Noor.

Format:

Book

Author/Creator:

Paunwala, Chirag, author.

Series:

EAI/Springer Innovations in Communication and Computing, 2522-8609

Language:

English

Subjects (All):

Signal processing.

Image processing.

Medical informatics.

Biomedical engineering.

Digital and Analog Signal Processing.

Image Processing.

Health Informatics.

Biomedical Engineering and Bioengineering.

Local Subjects:

Digital and Analog Signal Processing.

Image Processing.

Health Informatics.

Biomedical Engineering and Bioengineering.

Physical Description:

1 online resource (423 pages)

Edition:

1st ed. 2023.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2023.

Summary:

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.

Contents:

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.

Other Format:

Print version: Paunwala, Chirag Biomedical Signal and Image Processing with Artificial Intelligence

ISBN:

3-031-15816-4