Multiclass Brain Tissue Segmentation in 4D CT Using Convolutional Neural Networks

Multiclass Brain Tissue Segmentation in 4D CT Using Convolutional Neural Networks

4D CT imaging has a great potential for use in stroke workup. A fully convolutional neural network (CNN) for 3D multiclass segmentation in 4D CT is presented, which can be trained end-to-end from sparse 2D annotations. The CNN was trained and validated on 42 4D CT acquisitions of the brain of patien...

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Bibliographic Details
Main Authors: Sil C. Van De Leemput, Midas Meijs, Ajay Patel, Frederick J. A. Meijer, Bram Van Ginneken, Rashindra Manniesing
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Deep learning
convolutional neural network (CNN)
segmentation
sparse annotations
brain
stroke
Online Access:https://ieeexplore.ieee.org/document/8686082/

Internet

https://ieeexplore.ieee.org/document/8686082/

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