Meier, Raphael; Bauer, Stefan; Slotboom, Johannes; Wiest, Roland; Reyes, Mauricio (2013). A Hybrid Model for Multimodal Brain Tumor Segmentation. NCI-MICCAI Challenge on Multimodal Brain Tumor Segmentation. Proceedings of NCI-MICCAI BRATS 2013, pp. 31-37. Nagoya: Miccai Society
Full text not available from this repository.We present a fully automatic segmentation method for multi-modal brain tumor segmentation. The proposed generative-discriminative hybrid model generates initial tissue probabilities, which are used subsequently for enhancing the classi�cation and spatial regularization. The model has been evaluated on the BRATS2013 training set, which includes multimodal MRI images from patients with high- and low-grade gliomas.
Our method is capable of segmenting the image into healthy (GM, WM, CSF) and pathological tissue (necrotic, enhancing and non-enhancing tumor, edema). We achieved state-of-the-art performance (Dice mean values of 0.69 and 0.8 for tumor subcompartments and complete tumor respectively) within a reasonable timeframe (4 to 15 minutes).
Item Type: |
Conference or Workshop Item (Paper) |
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Division/Institute: |
04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic and Interventional Neuroradiology 04 Faculty of Medicine > Pre-clinic Human Medicine > Institute for Surgical Technology & Biomechanics ISTB [discontinued] |
UniBE Contributor: |
Meier, Raphael, Slotboom, Johannes, Wiest, Roland Gerhard Rudi |
Subjects: |
600 Technology > 610 Medicine & health 500 Science > 570 Life sciences; biology |
Publisher: |
Miccai Society |
Language: |
English |
Submitter: |
Martin Zbinden |
Date Deposited: |
25 Jun 2014 16:41 |
Last Modified: |
02 Mar 2023 23:24 |
Related URLs: |
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URI: |
https://boris.unibe.ch/id/eprint/48410 |
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