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Uncertainty Informed Active Learning for Image Segmentation

Händeler, Angelina (2024) Uncertainty Informed Active Learning for Image Segmentation. Master's, University of Cologne.

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Item URL in elib:https://elib.dlr.de/208719/
Document Type:Thesis (Master's)
Additional Information:Erstbetreuer: Prof. Dr. Michael Felderer (SC-LTG), Zweitbetreuer: Dr. Alexander Rüttgers (SC-HPC)
Title:Uncertainty Informed Active Learning for Image Segmentation
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Händeler, AngelinaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:7 June 2024
Open Access:No
Number of Pages:71
Status:Published
Keywords:Active Learning, Uncertainty Quantification, Image Segmentation, U-Net, Machine Learning
Institution:University of Cologne
Department:Department of Mathematics and Computer Science
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space System Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Space System Technology
DLR - Research theme (Project):R - HPDA basic software, R - LBNP for bed rest and ISS ME/FE
Location: Köln-Porz
Institutes and Institutions:Institute of Software Technology > High-Performance Computing
Institute of Software Technology
Deposited By: Rüttgers, Dr. Alexander
Deposited On:18 Nov 2024 10:14
Last Modified:18 Nov 2024 10:14

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