Novel Volumetric Sub-region Segmentation in Brain Tumors

Novel Volumetric Sub-region Segmentation in Brain Tumors

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 image...

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Bibliographic Details
Main Authors: Subhashis Banerjee, Sushmita Mitra
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-01-01
Series:Frontiers in Computational Neuroscience
Subjects:
convolutional neural network
brain tumor segmentation
spatial-pooling and unpooling
conditional random field
multi-planar CNN
class imbalance
Online Access:https://www.frontiersin.org/article/10.3389/fncom.2020.00003/full

Internet

https://www.frontiersin.org/article/10.3389/fncom.2020.00003/full

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