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Thanks @twni2016 for sharing this good work. To support multi-organ segmentation simultaneously, could I apply saliency transformation over each organ, crop it and pass it through fine_model and return the probability map belongs to each class for joint optimization? please advise.
Yes, you may try this idea to implement multi-organ segmentation. I would suggest a global coarse seg model to output the prob maps of multiple organs, and crop each channel and feed them into the corresponding fine seg models.
Is this course-fine model supporting multi-organ segmentation simultaneously?
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