MICCAI BRATS - The Multimodal Brain Tumor Segmentation Challenge
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The Virtualskeleton database contains 100 full body CT data with a total of 300GB. Store your CT, MR or any other image modality. The ISLES challenge is a medical image segmentation challenge with the aim to compare different methods for ischemic stroke lesion segmentation from multi-spectral MRI images. ISLES is part of MICCAI 2015 conference! Take me to the ISLES Challenge. Join the Shape SSM 2015 Challenge.
Glioma is the most common type .
New version of the on-site program. We are proud to welcome a total of 20 participating teams. Early-bird registration offer prolonged until the 4th of August. For training cases now open.
Mild Traumatic Brain Injury Outcome Prediction. And her team, including R. Based on Both Graph and K-nn Methods. Are Yunliang Cai and Songbai Ji.
The SICAS Medical Image Repository - A Virtual Skeleton Database is the place for you to store medical research data. The ISLES challenge is a medical image segmentation challenge with the aim to compare different methods for ischemic stroke lesion segmentation from multi-spectral MRI images. ISLES is part of MICCAI 2015 conference! Take me to the ISLES challenge. Brain Tumor Image Segmentation Challenge. Take me to the BRATS challenge. Take me to the mTOP 2016 page.
The SICAS Medical Image Repository - A Virtual Skeleton Database is the place for you to store medical research data. The ISLES challenge is a medical image segmentation challenge with the aim to compare different methods for ischemic stroke lesion segmentation from multi-spectral MRI images. ISLES is part of MICCAI 2015 conference! Take me to the ISLES challenge. Brain Tumor Image Segmentation Challenge. Take me to the BRATS challenge. Take me to the mTOP 2016 page.
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