Signal and Image Processing Techniques for the Development of Intelligent Healthcare Systems

<div>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&nbsp; Convolutional Neural Network.- Chapter 14. An Automated Approach for the Identification of TB Images Enhanced by Non-uniform Illumination Correction.</div><div><br></div>