Explainable Artificial Intelligence for Biomedical Applications

Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Foreword -- Acknowledgement -- List of Contributors -- List of Figures -- List of Tables -- List of Abbreviations -- Chapter 1: Gastric Cancer Detection using Hybrid-based Network and SHAP Analysis -- 1.1: Introduction -- 1.2: XAI Approaches -- 1.2.1: Model agnostic vs. model specific -- 1.2.2: Local and global methods -- 1.2.3: Pre-model, in-model, and post-model -- 1.2.4: Visualization or surrogate methods -- 1.2.5: Approaches -- 1.3: Materials and Methods -- 1.3.1: Data processing and augmentation -- 1.3.2: Multi-scale network (MSN) module -- 1.3.3: Inner network (In-Net) module -- 1.3.4: Slice-based classification (SC-Net) module -- 1.3.5: Implementation of the proposed network -- 1.4: Experiments and Results -- 1.4.1: BOT gastric dataset -- 1.4.2: Results -- 1.5: Conclusion -- References -- Chapter 2: LIME Approach in Diagnosing Diseases - A Study on Explainable AI -- 2.1: Introduction -- 2.2: XAI Model for Predicting Heart Attack -- 2.3: XAI for Opthalmology -- 2.4: LIME - Local Interpretable Model-Agnostic Explanations -- 2.4.1: LIME approach for predicting COVID-19 -- 2.4.2: Prediction of thyroid using LIME approach -- 2.4.3: LIME method − air pollutant industries -- 2.4.4: Binary classification of breast cancer − LIME method -- 2.5: Multiclassification of ECG Signals using GRAD-CAM -- 2.6: Conclusion -- Acknowledgments -- References -- Chapter 3: Explainable Artificial Intelligence (XAI) in the Veterinary and Animal Sciences Field -- 3.1: Introduction -- 3.2: Mechanism of Explainable Artificial Intelligence in Biomedical Application -- 3.3: XAI in Diagnosis, Prevention, and Treatment -- 3.4: XAI in Dairy Farming -- 3.5: XAI in Poultry Farming -- 3.5.1: Poultry drones -- 3.5.2: Avian illness detection models..

Medienart:	E-Book

Erscheinungsjahr:	2023 ©2023
Erschienen:	Milton: River Publishers ; 2023 ©2023
Ausgabe:	1st ed.

Reihe:	River Publishers Series in Biomedical Engineering Series

Sprache:	Englisch

Beteiligte Personen:	Kose, Utku [VerfasserIn] Gupta, Deepak [Mitwirkende/r] Chen, Xi [Mitwirkende/r]

Links:	ebookcentral.proquest.com [lizenzpflichtig]

ISBN:	978-1-003-81058-2

Themen:	Artificial intelligence-Medical applications Biomedical engineering

Anmerkungen:	Description based on publisher supplied metadata and other sources

Umfang:	1 online resource (421 pages)

Förderinstitution / Projekttitel:

PPN (Katalog-ID):	1866209825