June 11, 2024, 4:47 a.m. | M. J. J. de Grauw, E. Th. Scholten, E. J. Smit, M. J. C. M. Rutten, M. Prokop, B. van Ginneken, A. Hering

cs.LG updates on arXiv.org arxiv.org

arXiv:2406.05231v1 Announce Type: cross
Abstract: Size measurements of tumor manifestations on follow-up CT examinations are crucial for evaluating treatment outcomes in cancer patients. Efficient lesion segmentation can speed up these radiological workflows. While numerous benchmarks and challenges address lesion segmentation in specific organs like the liver, kidneys, and lungs, the larger variety of lesion types encountered in clinical practice demands a more universal approach. To address this gap, we introduced the ULS23 benchmark for 3D universal lesion segmentation in chest-abdomen-pelvis …

abstract arxiv benchmark benchmarks cancer challenge challenges cs.cv cs.lg dataset eess.iv patients segmentation speed treatment type universal while workflows

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