Signal and Image Processing Techniques for the Development of Intelligent Healthcare Systems 1st Edition by Priya,Rajinikanth 9789811561405 9811561400

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Product details:

ISBN 10:9811561400
ISBN 13:9789811561405
Author:Priya,Rajinikanth
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.

Signal and Image Processing Techniques for the Development of Intelligent Healthcare Systems 1st Table of contents:

1. An Integrated Design of Fuzzy C-Means and NCA-Based Multi-properties Feature Reduction for Brain Tumor Recognition

2. Hybrid Image Processing-Based Examination of 2D Brain MRI Slices to Detect Brain Tumor/Stroke Section: A Study

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

4. Lung Cancer Diagnosis Based on Image Fusion and Prediction Using CT and PET Image

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

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

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

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

9. Multilevel Mammogram Image Analysis for Identifying Outliers: Misclassification Using Machine Learning

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

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

12. EEG Signal Extraction Analysis Techniques

13. Classification of sEMG Signal-Based Arm Action Using Convolutional Neural Network

14. An Automated Approach for the Identification of TB Images Enhanced by Non-unifo

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Priya,Rajinikanth,Development,Healthcare,Techniques