Titlebook: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries; 4th International Wo Alessandro Crimi,Spyridon Bakas,Theo van

Cocker

https://doi.org/10.1007/978-3-642-61036-3nt/nesting is a typical inter-class geometric relationship. In the MICCAI Brain tumor segmentation challenge, with its three hierarchically nested classes ‘whole tumor’, ‘tumor core’, ‘a(chǎn)ctive tumor’, the nested classes relationship is introduced into the 3D-residual-Unet architecture. The network co

惡臭

Jaime Prilusky,Eran Hodis,Joel L. Sussman For segmentation, we utilize an existing brain parcellation atlas in the MNI152 1?mm space and map this parcellation to each individual subject data. We use deep neural network architectures together with hard negative mining to achieve the final voxel level classification. For survival prediction,