Selective labeling: identifying representative sub-volumes for interactive segmentation
(2016)
Conference Proceeding
Automatic segmentation of challenging biomedical volumes with multiple objects is still an open research field. Automatic approaches usually require a large amount of training data to be able to model the complex and often noisy appearance and struct... Read More about Selective labeling: identifying representative sub-volumes for interactive segmentation.