Multi-level Kronecker Convolutional Neural Network (ML-KCNN) for Glioma Segmentation from Multi-modal MRI Volumetric Data.

The development of an automated glioma segmentation system from MRI volumes is a difficult task because of data imbalance problem. The ability of deep learning models to incorporate different layers for data representation assists medical experts like radiologists to recognize the condition of the p...

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Bibliographic Details

Published in:	Journal of Digital Imaging Vol. 34; no. 4; pp. 905 - 922
Main Authors:	Ali, Muhammad Junaid, Raza, Basit, Shahid, Ahmad Raza
Format:	diagnostic images equations & formulas pictorial research tables/charts Journal Article
Published:	Springer Nature Aug2021
Online Access:	View this record in EBSCOhost