55 citations · 55 across the 2 of their papers we have counts for
2 papers
eess.IV2024
SALT: Introducing a Framework for Hierarchical Segmentations in Medical Imaging using Softmax for Arbitrary Label Trees
Sven Koitka, Giulia Baldini, Cynthia S. Schmidt +11
Traditional segmentation networks approach anatomical structures as standalone elements, overlooking the intrinsic hierarchical connections among them. This study introduces Softma…
eess.IV2024★ 55 cited
ROCOv2: Radiology Objects in COntext Version 2, an Updated Multimodal Image Dataset
Johannes Rückert, Louise Bloch, Raphael Brüngel +11
Automated medical image analysis systems often require large amounts of training data with high quality labels, which are difficult and time consuming to generate. This paper intro…