Search Results for author: Stine Hansen

Found 6 papers, 3 papers with code

Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion Segmentation

1 code implementation2 Mar 2023 Luca Tomasetti, Stine Hansen, Mahdieh Khanmohammadi, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz, Michael Kampffmeyer

Precise ischemic lesion segmentation plays an essential role in improving diagnosis and treatment planning for ischemic stroke, one of the prevalent diseases with the highest mortality rate.

Few-Shot Learning Ischemic Stroke Lesion Segmentation +2

Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With Supervoxels

1 code implementation3 Mar 2022 Stine Hansen, Srishti Gautam, Robert Jenssen, Michael Kampffmeyer

Motivated by this, and the observation that the foreground class (e. g., one organ) is relatively homogeneous, we propose a novel anomaly detection-inspired approach to few-shot medical image segmentation in which we refrain from modeling the background explicitly.

Anomaly Detection Cardiac Segmentation +5

Demonstrating The Risk of Imbalanced Datasets in Chest X-ray Image-based Diagnostics by Prototypical Relevance Propagation

no code implementations10 Jan 2022 Srishti Gautam, Marina M. -C. Höhne, Stine Hansen, Robert Jenssen, Michael Kampffmeyer

The recent trend of integrating multi-source Chest X-Ray datasets to improve automated diagnostics raises concerns that models learn to exploit source-specific correlations to improve performance by recognizing the source domain of an image rather than the medical pathology.

Pneumonia Detection

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