Slicer-DeepSeg: Open-Source Deep Learning Toolkit for Brain Tumour Segmentation

Slicer-DeepSeg: Open-Source Deep Learning Toolkit for Brain Tumour Segmentation

Purpose Computerized medical imaging processing assists neurosurgeons to localize tumours precisely. It plays a key role in recent image-guided neurosurgery. Hence, we developed a new open-source toolkit, namely Slicer-DeepSeg, for efficient and automatic brain tumour segmentation based on deep lear...

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Bibliographic Details
Main Authors: Zeineldin Ramy A., Weimann Pauline, Karar Mohamed E., Mathis-Ullrich Franziska, Burgert Oliver
Format: Article
Language:English
Published: De Gruyter 2021-08-01
Series:Current Directions in Biomedical Engineering
Subjects:
3d slicer
brain tumour segmentation
deep learning
image-guided neurosurgery
mri.
Online Access:https://doi.org/10.1515/cdbme-2021-1007

Internet

https://doi.org/10.1515/cdbme-2021-1007

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