|
|
|
|
| LEADER |
02554nam a22003853i 4500 |
| 001 |
EBC30180209 |
| 003 |
MiAaPQ |
| 005 |
20240729202204.0 |
| 006 |
m o d | |
| 007 |
cr cnu|||||||| |
| 008 |
240729s2022 xx o ||||0 eng d |
| 020 |
|
|
|a 9789179294731
|q (electronic bk.)
|
| 020 |
|
|
|z 9789179294731
|
| 035 |
|
|
|a (MiAaPQ)EBC30180209
|
| 035 |
|
|
|a (Au-PeEL)EBL30180209
|
| 035 |
|
|
|a (OCoLC)1350688476
|
| 040 |
|
|
|a MiAaPQ
|b eng
|e rda
|e pn
|c MiAaPQ
|d MiAaPQ
|
| 100 |
1 |
|
|a Stacke, Karin.
|
| 245 |
1 |
0 |
|a Deep Learning for Digital Pathology in Limited Data Scenarios.
|
| 250 |
|
|
|a 1st ed.
|
| 264 |
|
1 |
|a Linköping :
|b Linkopings Universitet,
|c 2022.
|
| 264 |
|
4 |
|c {copy}2022.
|
| 300 |
|
|
|a 1 online resource (85 pages)
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 490 |
1 |
|
|a Linköping Studies in Science and Technology. Licentiate Thesis Series ;
|v v.2253
|
| 505 |
0 |
|
|a Intro -- Abstract -- Populärvetenskaplig 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.
|
| 588 |
|
|
|a Description based on publisher supplied metadata and other sources.
|
| 590 |
|
|
|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.
|
| 655 |
|
4 |
|a Electronic books.
|
| 776 |
0 |
8 |
|i Print version:
|a Stacke, Karin
|t Deep Learning for Digital Pathology in Limited Data Scenarios
|d Linköping : Linkopings Universitet,c2022
|z 9789179294731
|
| 797 |
2 |
|
|a ProQuest (Firm)
|
| 830 |
|
0 |
|a Linköping Studies in Science and Technology. Licentiate Thesis Series
|
| 856 |
4 |
0 |
|u https://ebookcentral.proquest.com/lib/matrademy/detail.action?docID=30180209
|z Click to View
|
