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0 (hodnocen0 x )
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EB
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ONLINE
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1st ed.
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Linkoping : Linkopings Universitet, 2022
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1 online resource (85 pages)
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Externí odkaz
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Plný text PDF
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* Návod pro vzdálený přístup
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ISBN 9789179294731 (electronic bk.)
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Print version: Stacke, Karin Deep Learning for Digital Pathology in Limited Data Scenarios Linkoping : Linkopings Universitet,c2022
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Intro -- Abstract -- Popularvetenskaplig sammanfattning -- Acknowledgments -- List of Publications -- Contributions -- Contents -- I Comprehensive Summary -- 1 Introduction -- 1.1 Digital pathology -- 1.2 Deep learning -- 1.3 Objectives and contributions -- 1.4 Thesis outline -- 2 Background -- 2.1 Medical images -- 2.2 Deep learning -- 2.3 Application on medical image data -- 3 Building robust models -- 3.1 Domain shift -- 3.2 Training strategies -- 3.3 Workflow strategies -- 3.4 Discussion -- 4 Handling limited data access -- 4.1 Utilizing labeled data -- 4.2 Utilizing unlabeled data -- 4.3 Discussion -- 5 Multi-modal training -- 5.1 Correlated feature learning -- 5.2 Discussion -- 6 Summary and discussion -- 6.1 Summary of contributions -- 6.2 Clinical impact -- 6.3 Ethical considerations -- 6.4 Future outlook -- 6.5 Concluding remarks -- Bibliography -- II Appended papers.
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001898582
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express
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(Au-PeEL)EBL30180209
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(MiAaPQ)EBC30180209
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(OCoLC)1350688476
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