Medical Informatics and Bioimaging Using Artificial Intelligence

Challenges, Issues, Innovations and Recent Developments
1. Auflage 2022
ISBN: 978-3-030-91105-8
Verlag: Springer International Publishing

Buch, Englisch, Band 1005, 258 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 411 g

Reihe: Studies in Computational Intelligence

This book emphasizes the latest developments and achievements in artificial intelligence and related technologies, focusing on the applications of artificial intelligence and medical diagnosis. The book describes the theory, applications, concept visualization, and critical surveys covering most aspects of AI for medical informatics.

Zielgruppe

Research

Autoren/Hrsg.

Hassanien, Aboul Ella

Yasin Shams, Mahmoud

Bhatnagar, Roheet

Sná¿el, Václav

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik

Inhaltsverzeichnis

Optimized Deep Learning Using Cockroach Swarm Optimization for Segmenting Brain MRI Scans.- Efficient Classification Model for Melanoma Based on Convolutional Neural Networks.- Machine Learning-supported MRI Analysis of Brain Asymmetry for Early Diagnosis of Dementia.- Feature Selection Based Coral Reefs Optimization for Breast Cancer Classification.- A Comprehensive Review on Brain Disease Mapping – the Underlying Technologies and AI based Techniques for Feature Extraction & Classification using EEG signals.- Recognition of Ocular Disease Based Optimized VGG-Net Models.- Applications of AI and IoT in COVID-19 Vaccine and Its Impact on Social Life.- COVID-19 forecasting based on an improved interior search algorithm and multilayer feed-forward neural network.- Development of Disease Diagnosis Model for CXR Images and Reports – A Deep Learning Approach.- Intelligent Drug Descriptors Analysis: Toward COVID-19 Drug Repurposing.- Analysis of Aortic Valve Using a Finite Element Model.- Fundus images Enhancement using Using Gravitational Force and Lateral Inhibition Network for Blood Vessel Detection.- Multivariate Fuzzy Logic based Smart Healthcare Monitoring for Risk Evaluation of Cardiac Patients.- Ensemble machine learning model for mortality prediction inside ICU