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Table of Contents
Intro
Preface
Organization
Contents
About the Editors
Expectations of Artificial Intelligence for Pathology
1 Introduction and Motivation
1.1 What Is the Difference Between Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL)?
1.2 Is Pathology an Uncomplicated Medical Speciality?
2 Glossary
3 State-of-the-Art
3.1 The Position of AI in Pathology Today?
3.2 Where Could Pathologists Need Support by AI?
4 Open Problems
5 Future Outlook
References
Interpretable Deep Neural Network to Predict Estrogen Receptor Status from Haematoxylin-Eosin Images
1 Introduction and Motivation
2 Glossary
3 State of the Art
3.1 Prediction of er Status Using nn
3.2 Post-hoc Model Explanation
4 Methods
4.1 Data and Preprocessing
4.2 Training and Evaluation
4.3 Visual Explanation of er Status Predictions
5 Experiments
5.1 Hyperparameter Tuning and Performance Evaluation
5.2 Comparison to a State-of-the-Art Method
5.3 Variance over the Splits
5.4 Rejection Option
5.5 Visual Explanation
6 Discussion
7 Conclusion
8 Open Challenges and Future Work
References
Supporting the Donation of Health Records to Biobanks for Medical Research
1 Introduction
2 A Motivating Scenario
3 ELGA
A Prototypical Mediator of Health Records
4 Stakeholders
4.1 Donors
4.2 Researchers
4.3 General Public
4.4 Health Care Providers
4.5 Mediators
5 Laws and Regulations
5.1 European General Data Protection Regulation
5.2 Laws Governing Health Data Mediators
6 Interoperability Requirements
6.1 ELGA Infrastructure
6.2 ELGA Documents
7 Incentivizing Data Donation by Building Trust
7.1 Security and Privacy
7.2 Access Control and Monitoring
7.3 Information
7.4 Ethical Principles
7.5 Informed Consents
8 Electronic Informed Consent with Disclosure Filters
8.1 Example
8.2 Electronic Informed Consent (eIC)
8.3 Disclosure Filter Specification
9 Discussion and Conclusions
References
Survey of XAI in Digital Pathology
1 Introduction and Motivation
1.1 Background
1.2 AI in Pathology
1.3 Needs of XAI in Digital Pathology
2 Glossary
3 State-of-the-Art
3.1 Explanation Target
3.2 Result Representation
3.3 Technical Approach
3.4 XAI Methods in Medical Imaging
4 Open Problems
5 Future Outlook
A Reviewed Methods
References
Sample Quality as Basic Prerequisite for Data Quality: A Quality Management System for Biobanks
1 Introduction and Motivation
2 Glossary
3 State-of-the-Art
3.1 The Quality Management Concept of GBN
3.2 QM Manual
3.3 Software Solution
3.4 Friendly Audits
3.5 Ring Trials
3.6 Satisfaction Survey for Biobank Users
4 Challenges and Opportunities
5 Outlook
References
Preface
Organization
Contents
About the Editors
Expectations of Artificial Intelligence for Pathology
1 Introduction and Motivation
1.1 What Is the Difference Between Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL)?
1.2 Is Pathology an Uncomplicated Medical Speciality?
2 Glossary
3 State-of-the-Art
3.1 The Position of AI in Pathology Today?
3.2 Where Could Pathologists Need Support by AI?
4 Open Problems
5 Future Outlook
References
Interpretable Deep Neural Network to Predict Estrogen Receptor Status from Haematoxylin-Eosin Images
1 Introduction and Motivation
2 Glossary
3 State of the Art
3.1 Prediction of er Status Using nn
3.2 Post-hoc Model Explanation
4 Methods
4.1 Data and Preprocessing
4.2 Training and Evaluation
4.3 Visual Explanation of er Status Predictions
5 Experiments
5.1 Hyperparameter Tuning and Performance Evaluation
5.2 Comparison to a State-of-the-Art Method
5.3 Variance over the Splits
5.4 Rejection Option
5.5 Visual Explanation
6 Discussion
7 Conclusion
8 Open Challenges and Future Work
References
Supporting the Donation of Health Records to Biobanks for Medical Research
1 Introduction
2 A Motivating Scenario
3 ELGA
A Prototypical Mediator of Health Records
4 Stakeholders
4.1 Donors
4.2 Researchers
4.3 General Public
4.4 Health Care Providers
4.5 Mediators
5 Laws and Regulations
5.1 European General Data Protection Regulation
5.2 Laws Governing Health Data Mediators
6 Interoperability Requirements
6.1 ELGA Infrastructure
6.2 ELGA Documents
7 Incentivizing Data Donation by Building Trust
7.1 Security and Privacy
7.2 Access Control and Monitoring
7.3 Information
7.4 Ethical Principles
7.5 Informed Consents
8 Electronic Informed Consent with Disclosure Filters
8.1 Example
8.2 Electronic Informed Consent (eIC)
8.3 Disclosure Filter Specification
9 Discussion and Conclusions
References
Survey of XAI in Digital Pathology
1 Introduction and Motivation
1.1 Background
1.2 AI in Pathology
1.3 Needs of XAI in Digital Pathology
2 Glossary
3 State-of-the-Art
3.1 Explanation Target
3.2 Result Representation
3.3 Technical Approach
3.4 XAI Methods in Medical Imaging
4 Open Problems
5 Future Outlook
A Reviewed Methods
References
Sample Quality as Basic Prerequisite for Data Quality: A Quality Management System for Biobanks
1 Introduction and Motivation
2 Glossary
3 State-of-the-Art
3.1 The Quality Management Concept of GBN
3.2 QM Manual
3.3 Software Solution
3.4 Friendly Audits
3.5 Ring Trials
3.6 Satisfaction Survey for Biobank Users
4 Challenges and Opportunities
5 Outlook
References