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- Original title:
- The Hitchhiker's Guide to Machine Learning for Biomedical Image Analysis
- Translated title:
- Maschinelles Lernen zur Biomedizinischen Bildanalyse
- Author:
- Kofler, Florian
- Year:
- 2023
- Document type:
- Dissertation
- Faculty/School:
- TUM School of Computation, Information and Technology
- Advisor:
- Menze, Björn (Prof. Dr.)
- Referee:
- Menze, Björn (Prof. Dr.); Wiest, Roland (Prof. Dr.)
- Language:
- en
- Subject group:
- NAT Naturwissenschaften (allgemein)
- Keywords:
- machine learning, deep learning, biomedical image analysis, segmentation, MR, CT
- Translated keywords:
- machine learning, deep learning, biomedical image analysis, segmentation, MR, CT
- TUM classification:
- DAT 760; MED 230
- Abstract:
- The Hitchiker’s Guide to Machine Learning for Biomedical Image Analysis is a dissertation for tackling biomedical image analysis problems with machine learning. It covers the whole iterative workflow from dataset curation, network training, evaluation, and interpretation of results to refining the model in three parts. Peer-reviewed academic contributions and an outlook complete the dissertation.
- Translated abstract:
- The Hitchiker’s Guide to Machine Learning for Biomedical Image Analysis ist eine Dissertation zur Bearbeitung biomedizinischer Bildanalyseprobleme mittels maschinellem Lernen. In drei Teilen wird der gesamte iterative Arbeitsablauf vom Kuratieren von Datensätzen, Netzwerktraining, Evaluation und Interpretation von Ergebnissen, bis hin zum Verfeinern von Modellen behandelt. Akademische Veröffentlichen, sowie ein Ausblick komplettieren die Dissertation.
- WWW:
- https://mediatum.ub.tum.de/?id=1662442
- Date of submission:
- 27.06.2022
- Oral examination:
- 14.02.2023
- File size:
- 7011327 bytes
- Pages:
- 84
- Urn (citeable URL):
- https://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:91-diss-20230511-1662442-1-3
- Last change:
- 10.07.2023
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