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Novel Volumetric Sub-region Segmentation in Brain Tumors
2020
Frontiers in Computational Neuroscience
A novel deep learning based model called Multi-Planar Spatial Convolutional Neural Network (MPS-CNN) is proposed for effective, automated segmentation of different sub-regions viz. peritumoral edema (ED), necrotic core (NCR), enhancing and non-enhancing tumor core (ET/NET), from multi-modal MR images of the brain. An encoder-decoder type CNN model is designed for pixel-wise segmentation of the tumor along three anatomical planes (axial, sagittal, and coronal) at the slice level. These are then
doi:10.3389/fncom.2020.00003
pmid:32038216
pmcid:PMC6993215
fatcat:7clvk46kz5cptbwtusucyh76fm