most citedMultimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images based on Physiological and Anatomical Cues

10 citations · 10 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CV2023★ 10 cited

Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images based on Physiological and Anatomical Cues

Verena Jasmin Hallitschke, Tobias Schlumberger, Philipp Kataliakos +6

Recently, deep learning enabled the accurate segmentation of various diseases in medical imaging. These performances, however, typically demand large amounts of manual voxel annota…