ISBN-13: 9783031380358 / Angielski / Twarda / 2023
ISBN-13: 9783031380358 / Angielski / Twarda / 2023
This book covers the latest research studies regarding Explainable Machine Learning used in multimedia-based healthcare applications. In this context, the content includes not only introductions for applied research efforts but also theoretical touches and discussions targeting open problems as well as future insights. In detail, a comprehensive topic coverage is ensured by focusing on remarkable healthcare problems solved with Artificial Intelligence. Because today’s conditions in medical data processing are often associated with multimedia, the book considers research studies with especially multimedia data processing.
Foreword
Preface
Acknowledgement
Table of Contents
Chapter 1:
Automatic Fetal Motion Detection from Trajectory of US Videos Based on YOLOv5 and LSTM
Chapter 2:
Explainable Machine Learning (XML) for Multimedia-based Healthcare Systems: Opportunities, Challenges, Ethical and Future ProspectsChapter 3:
Ensemble deep learning architectures in bone cancer detection based on Medical Diagnosis in Explainable Artificial Intelligence
Chapter 4:
Digital dermatitis disease classification utilizing visual feature extraction and various machine learning techniques by explainable AI
Chapter 5:
Explainable Machine Learning in Healthcare
Chapter 6:
Explainable Artificial Intelligence with Scaling Techniques to Classify Breast Cancer Images
Chapter 7:
A Novel Approach of COVID -19 Estimation Using GIS and Kmeans Clustering: A Case of GEOAI
Chapter 8:
A Brief Review of Explainable Artificial Intelligence Reviews and Methods
Chapter 9:
Systematic Literature Review In Using Big Data Analytics And XAI Applications In Medical
Chapter 10:
Using Explainable Artificial Intelligence In Drug Discovery: A Theoretical Research
Chapter 11:
Application of Interpretable Artificial Intelligence enabled Cognitive Internet of Things for COVID-19 Pandemics
Chapter 12:
Remote Photoplethysmography: Digital Disruption in Health Vital Acquisition
This book covers the latest research studies regarding Explainable Machine Learning used in multimedia-based healthcare applications. In this context, the content includes not only introductions for applied research efforts but also theoretical touches and discussions targeting open problems as well as future insights. In detail, a comprehensive topic coverage is ensured by focusing on remarkable healthcare problems solved with Artificial Intelligence. Because today’s conditions in medical data processing are often associated with multimedia, the book considers research studies with especially multimedia data processing.
1997-2024 DolnySlask.com Agencja Internetowa