AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation. (arXiv:2206.08023v1 [eess.IV])

Despite the considerable progress in automatic abdominal multi-organ
segmentation from CT/MRI scans in recent years, a comprehensive evaluation of
the models' capabilities is hampered by the lack of a large-scale benchmark
from diverse clinical scenarios. Constraint by the high cost of collecting and
labeling 3D medical data, most of the deep learning models to date are driven
by datasets with a limited number of organs of interest or samples, which still
limits the power of modern deep models and makes …

arxiv benchmark image medical scale segmentation