Record link: 
http://hdl.handle.net/20.500.12708/153472
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Title: 
UMAP based Anomaly Detection for Leukemic Cell Quantification within Acute Myeloid Leukemia
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Citation: 
Weijler, L. M. (2022, February 20). UMAP based Anomaly Detection for Leukemic Cell Quantification within Acute Myeloid Leukemia [Conference Presentation]. ICMVA 2022: 2022 the 5th International Conference on Machine Vision and Applications (ICMVA), Singapur, Singapore.
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Publication Type: 
Presentation - Conference Presentation
en
Language: 
English
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Authors: 
Weijler, Lisa Magdalena 
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Organisational Unit: 
E193-01 - Forschungsbereich Computer Vision 
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Date (published): 
20-Feb-2022
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Event name: 
ICMVA 2022: 2022 the 5th International Conference on Machine Vision and Applications (ICMVA) 
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Event date: 
18-Feb-2022 - 20-Feb-2022
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Event place: 
Singapur, Singapore
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Keywords: 
AML
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Project title: 
MyeFLOW- Automated minimal residual disease assessment in childhood acute myeloid leukemia: 2883041 (Wirtschaftsagentur Wien) 
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Research Areas: 
Visual Computing and Human-Centered Technology: 100%
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Science Branch: 
1020 - Informatik: 90%
1010 - Mathematik: 10%
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