Description
Book SynopsisThis book explores the advancements and future challenges in biomedical application developments using breakthrough technologies like Artificial Intelligence (AI), Internet of Things (IoT), and Signal Processing. It will also contribute to biosensors and secure systems,and related research. Applied Artificial Intelligence: A Biomedical Perspective begins by detailing recent trends and challenges of applied artificial intelligence in biomedical systems.
Part I of the book presents the technological background of the book in terms of applied artificial intelligence in the biomedical domain. Part II demonstrates the recent advancements in automated medical image analysis that have opened ample research opportunities in the applications of deep learning to different diseases. Part III focuses on the use of cyberphysical systems that facilitates computing anywhere by using medical IoT and biosensors and the numerous applications of this technology in the healthcare domain.
Table of Contents
1 Healthcare Fees-Centric to Value-Centric Transformation through Data, Analytics, and Artificial Intelligence
2 AI-Based Healthcare: Top Businesses and Technologies 3 Insights into AI, Machine Learning, and Deep Learning 4 Deep Learning for Visual Perceptual Brain Decoding as Image Classification 5 Automatic Brain Tumor Segmentation in Multimodal MRI Images Using Deep Learning 6 Automated Prediction of Lung Cancer Using Deep Learning Algorithms 7 Cervical Cancer Screening Approach Using AI D. Santhi, M. Carmel Sobia, and M. Jayalakshmi 8 Progression Detection of Multiple Sclerosis in Brain MRI Images 9 Artificial Intelligence Clustering Techniques on Dermoscopic Skin Lesion Images 10 Automated Alzheimer’s Disease Detection with Optimized Fuzzy Neural Network 11 A Comprehensive Survey with Bibliometric Analysis on Recent Research Opportunities of Multimodal Medical Image Fusion in Various Applications 12 Big Data in IoT for Healthcare Application 13 Automatic Detection of Diabetic Retinopathy to Avoid Blindness 14 A Review on Wireless BAN to Measure the Respiration Rate Using SoC Architecture 15 Deep Feature Extraction for EEG Signal Classification in Motor Imagery Tasks 16 Effect of Age in Normal Women by Heart Rate Variability Analysis
17 EEG Signal Analysis Using Machine Learning and Artificial Intelligence for Identification of Brain Dysfunction
18 Cervical Cancer Screening Methods: Comprehensive Survey 19 Understanding Assessment Methods and Sensors for ADHD Hyperactive-Impulsive Type among Children 20 Security of Medical Image Information by Cryptography and Watermarking Using Python 21 Integration of Biosensors and Drug Delivery Systems for Biomedical Applications 22 Automatic Liver and Lesion Segmentation in CT Using 3-D Context Convolutional Neural Network: 3-D Context U-Net
