Signal and Image Processing Techniques for the Development of Intelligent Healthcare Systems / edited by E. Priya, V. Rajinikanth.

Format:

Book

Contributor:

Priya, E., editor.

Rajinikanth, Venkatesan, editor.

Language:

English

Subjects (All):

Biotechnology.

Bioinformatics.

Computer vision.

Machine learning.

Computer Vision.

Machine Learning.

Local Subjects:

Biotechnology.

Bioinformatics.

Computer Vision.

Machine Learning.

Physical Description:

1 online resource (XIV, 283 p. 117 illus., 52 illus. in color.)

Edition:

1st ed. 2021.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2021.

Summary:

This book comprehensively reviews the various automated and semi-automated signal and image processing techniques, as well as deep-learning-based image analysis techniques, used in healthcare diagnostics. It highlights a range of data pre-processing methods used in signal processing for effective data mining in remote healthcare, and discusses pre-processing using filter techniques, noise removal, and contrast-enhanced methods for improving image quality. The book discusses the status quo of artificial intelligence in medical applications, as well as its future. Further, it offers a glimpse of feature extraction methods for reducing dimensionality and extracting discriminatory information hidden in biomedical signals. Given its scope, the book is intended for academics, researchers and practitioners interested in the latest real-world technological innovations.

Contents:

Chapter 1. An Integrated Design of Fuzzy C-Means and NCA based Multi-Properties Features Reduction for Brain Tumor Recognition

Chapter 2. Hybrid Image Processing based Examination of 2D Brain MRI Slices to Detect Brain Tumour/Stroke Section – A Study

Chapter 3. Edge Enhancing Coherence Diffusion Filter for Level Set Segmentation and Asymmetry Analysis using Curvelets in Breast Thermograms

Chapter 4. Lung Cancer Diagnosis Based on Image Fusion and prediction using CT and PET image

Chapter 5. Segmentation and Validation of Infrared Breast Images using Weighted Level Set and Phase Congruency Edge Map Framework

Chapter 6. Analysis of Material Profile for Polymer Based Mechanical Microgripper for Thin Plate Holding

Chapter 7. Design and Testing of Elbow Actuated Wearable Robotic Arm for Muscular Disorders

Chapter 8. A Comprehensive Study of Image Fusion Techniques and Their Applications

Chapter 9. Multilevel Mammogram Image Analysis for Identifying Outliers, Misclassification using Machine Learning

Chapter 10. A Review on Automatic Detection of Retinal Lesions in Fundus Images for Diabetic Retinopathy

Chapter 11. Medical Image Watermarking: A Review on Wavelet Based Methods

Chapter 12. EEG Signal Extraction Analysis Techniques

Chapter 13. Classification of sEMG Signal based Arm Action using Convolutional Neural Network

Chapter 14. An Automated Approach for the Identification of TB Images Enhanced by Non-uniform Illumination Correction.

ISBN:

981-15-6141-9