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To promote the development of medical image segmentation technology, AMOS, alarge-scale abdominal multi-organ dataset for versatile medical imagesegmentation, 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 employresidual U-Net with deep super vision as our base model. The experimentalresults show that the mean scores of Dice similarity coefficient and normalizedsurface dice are 0.8504 and 0.8476 for CT only task and CT/MRI task,respectively.

Multi-Modality Abdominal Multi-Organ Segmentation with Deep Supervised 3D Segmentation Model