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|a Lindvall, Martin.
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|a Designing with Machine Learning in Digital Pathology :
|b Augmenting Medical Specialists Through Interaction Design.
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|a 1st ed.
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|a Linköping :
|b Linkopings Universitet,
|c 2021.
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|c {copy}2021.
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|a 1 online resource (130 pages)
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|a text
|b txt
|2 rdacontent
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|a computer
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|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Linköping Studies in Science and Technology. Dissertations Series ;
|v v.2157
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| 505 |
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|a Intro -- Abstract -- Acknowledgments -- List of Publications -- Contents -- I Comprehensive Summary -- 1 Introduction -- 1.1 Research Scope and Delimitations -- 1.2 Thesis Overview -- 2 Background -- 2.1 Machine Learning Basics -- 2.2 Digital Pathology -- 2.3 Artificial Intelligence in Pathology -- 3 Theoretical Framework -- 3.1 Automation and Human Control -- 3.2 Challenges Designing with ML -- 3.3 AI-assisted Decision-making -- 4 Research Approach -- 4.1 Constructive Design Research -- 4.2 Motivations -- 4.3 From Design Experiments to Generative Knowledge -- 4.4 Designing for Efficiency -- 5 Paper summary -- 6 Design Experiments -- 6.1 Overview -- 6.2 Exploring Proactive Training Data Collection (DROID) -- 6.3 AI-assisted Annotation (TW) -- 6.4 AI-assisted Visual Search (LGL) -- 6.5 AI-assisted Quantification (PDL1) -- 7 A Framework for Designing Human-Centred Machine Learning -- 7.1 The Importance of Thoughtful Action -- 7.2 Three Interconnected Activities -- 7.3 The Impact of Gathering Training Data -- 7.4 The Impact of Interaction Design -- 7.5 The Impact of Model Development -- 8 Conclusion and Discussion -- 8.1 Summary of Contributions -- 8.2 Why is Designing with ML Difficult? -- 8.3 Power to the People? Reflections on Interactive Machine Learning -- 8.4 The Role of Constructive Design Research -- 8.5 In Conclusion -- Bibliography -- II Appended papers -- 1 TissueWand, a Rapid Histopathology Annotation Tool. -- 2 Rapid Assisted Visual Search: Supporting Digital Pathologists with Imperfect AI. -- 3 From Machine Learning to Machine Teaching: The Importance of UX. -- 4 Machine Learning as a Design Material: a Curated Collection of Exemplars for Visual Interaction. -- 5 Verification Staircase: a Design Strategy for Actionable Explanations. -- 6 Designing for the Long-Tail of Machine Learning.
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|a 7 Proactive Construction of an Annotated Imaging Database for Artificial Intelligence Training.
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| 588 |
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|a Description based on publisher supplied metadata and other sources.
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|a Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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| 655 |
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|a Electronic books.
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|i Print version:
|a Lindvall, Martin
|t Designing with Machine Learning in Digital Pathology
|d Linköping : Linkopings Universitet,c2021
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| 797 |
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|a ProQuest (Firm)
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| 830 |
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|a Linköping Studies in Science and Technology. Dissertations Series
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| 856 |
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|u https://ebookcentral.proquest.com/lib/matrademy/detail.action?docID=6720003
|z Click to View
|
