Multi-Modality Abdominal Multi-Organ Segmentation with Deep Supervised 3D Segmentation Model. (arXiv:2208.12041v1 [eess.IV])

To promote the development of medical image segmentation technology, AMOS, a
large-scale abdominal multi-organ dataset for versatile medical image
segmentation, is provided and AMOS 2022 challenge is held by using the dataset.
In this report, we present our solution for the AMOS 2022 challenge. We employ
residual U-Net with deep super vision as our base model. The experimental
results show that the mean scores of Dice similarity coefficient and normalized
surface dice are 0.8504 and 0.8476 for CT only task …

3d arxiv segmentation