Search Results for author: Kamil Mikolaj

Found 3 papers, 0 papers with code

Removing confounding information from fetal ultrasound images

no code implementations24 Mar 2023 Kamil Mikolaj, Manxi Lin, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Tolsgaard, Anders Nymark, Aasa Feragen

In order to utilize the vast amounts of data available in these databases, we develop and validate a series of methods for minimizing the confounding effects of embedded text and calipers on deep learning algorithms designed for ultrasound, using standard plane classification as a test case.

Shortcut Learning in Medical Image Segmentation

no code implementations11 Mar 2024 Manxi Lin, Nina Weng, Kamil Mikolaj, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Tolsgaard, Anders Nymark Christensen, Aasa Feragen

Shortcut learning is a phenomenon where machine learning models prioritize learning simple, potentially misleading cues from data that do not generalize well beyond the training set.

Image Classification Image Segmentation +3

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