MICCAI 2016 Daily - Thursday

Florian Dubost is a PhD student at the Erasmus Medical Center, Rotterdam . This Friday afternoon he will present his work at the LABELS workshop. Hands-Free Segmentation Of Medical Volumes Via Binary Inputs Florian Dubost Presentation 10 MICCAI Daily: Thursday Florian proposes a novel hands-free method to interactively segment 3D medical volumes. In his scenario, a human user progressively segments an organ by answering a series of questions of the form `` Is this voxel inside the object to segment? ''. At each iteration, the chosen question is defined as the one halving a set of candidate segmentations given the answered questions. For a quick and efficient exploration, these segmentations are sampled according to the Metropolis-Hastings algorithm. His sampling technique relies on a combination of relaxed shape prior, learnt probability map and consistency with previous answers. He demonstrates the potential of his strategy on a prostate segmentation MRI dataset. Through the study of failure cases with synthetic examples, he demonstrate the adaptation potential of his method. He also shows that his method outperforms two intuitive baselines: one based on random questions, the other one being the thresholded probability map. Visit his poster on Friday at 17:15 at LABELS. “ For a quick and efficient exploration, these segmentations are sampled according to the Metropolis-Hastings algorithm ”