Managing imbalanced training data by sequential segmentation in machine learning
Imbalanced training data is a common problem in machine learning applications. Thisproblem refers to datasets in which the foreground pixels are significantly fewer thanthe background pixels. By training a machine learning model with imbalanced data, theresult is typically a model that classifies al...
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| Format: | Others |
| Language: | English |
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Linköpings universitet, Avdelningen för medicinsk teknik
2019
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-155091 |