AMOS 2022 challenge contains two tasks in which the participating teams can take place and submit their result(s):
a) Task 1 - Segmentation of abdominal organs (CT only): as a mostly regular task, Task 1 aims to comprehensively evaluate the performance of different segmentation methods across large-scale and great diversity CT scans, a total of 500 cases with annotations of 15 organs (spleen, right kidney, left kidney, gallbladder, esophagus, liver, stomach, aorta, inferior vena cava, pancreas, right adrenal gland, left adrenal gland, duodenum, bladder, prostate/uterus) are presented.
b) Task 2 - Segmentation of abdominal organs (CT & MRI): this task extends the image modality target of Task 1 to the MRI modality. Under such a “Cross Modality” setting, a single algorithm is required to segment abdominal organs from both CT and MRI. Specifically, additional 100 MRI scans with the same type of annotation will be provided.
The AMOS 2022 challenge has the following main features:
1. Large-scale: we collect the most comprehensive abdominal multi-organ to date.
2. Multi-modality: we build the dataset with two modalities CT and MRI.
3. Multi-tasks: we design two tasks including the regular CT segmentation task and the extended cross-modality CT & MRI segmentation task.
Acknowledgement:
We particularly thank Amazon Web Services (AWS) for the great sponsorship and support to this challenge.
More info: https://amos22.grand-challenge.org/