Medical Informatics and Bioimaging Using Artificial Intelligence
Challenges, Issues, Innovations and Recent Developments
Published on 17. December 2022
Book
Paperback/Softback
VIII, 258 pages
978-3-030-91105-8 (ISBN)
Description
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.
More details
Series
Edition
2022 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
88 farbige Abbildungen, 19 s/w Abbildungen
VIII, 258 p. 107 illus., 88 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 15 mm
Weight
411 gr
ISBN-13
978-3-030-91105-8 (9783030911058)
DOI
10.1007/978-3-030-91103-4
Schweitzer Classification
Other editions
Additional editions
Aboul Ella Hassanien | Roheet Bhatnagar | Václav Snásel
Medical Informatics and Bioimaging Using Artificial Intelligence
Challenges, Issues, Innovations and Recent Developments
Book
12/2021
Springer
€192.59
Shipment within 7-9 days
Content
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