1.2k citations · 2.4k across the 17 of their papers we have counts for
4 papers · 1 filter
MIC: Mining Interclass Characteristics for Improved Metric Learning
Karsten Roth, Biagio Brattoli, Björn Ommer
Metric learning seeks to embed images of objects suchthat class-defined relations are captured by the embeddingspace. However, variability in images is not just due to different de…
Mask Mining for Improved Liver Lesion Segmentation
Karsten Roth, Jürgen Hesser, Tomasz Konopczyński
We propose a novel procedure to improve liver and lesion segmentation from CT scans for U-Net based models. Our method extends standard segmentation pipelines to focus on higher ta…
Liver Lesion Segmentation with slice-wise 2D Tiramisu and Tversky loss function
Karsten Roth, Tomasz Konopczyński, Jürgen Hesser
At present, lesion segmentation is still performed manually (or semi-automatically) by medical experts. To facilitate this process, we contribute a fully-automatic lesion segmentat…
The Liver Tumor Segmentation Benchmark (LiTS)
Patrick Bilic, Patrick Christ, Hongwei Bran Li +106
In this work, we report the set-up and results of the Liver Tumor Segmentation Benchmark (LiTS), which was organized in conjunction with the IEEE International Symposium on Biomedi…