SlicerBatchBrainMRTumorSegmentation: Automating brain tumor segmentation in 3D slicer for improved efficiency and research support

The SlicerBatchBrainMRTumorSegmentation is a graphical user interface (GUI) based Python scripted module within 3D Slicer. Its purpose is to perform automated brain tumour segmentation for numerous patients while preserving data integrity and organization. Through automation, manual intervention at...

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Main Authors: Saima Safdar, Nathaniel Barry, Michael Bynevelt, Suki Gill, Pejman Rowshan Farzad, Martin A Ebert
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:SoftwareX
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352711024003364
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author Saima Safdar
Nathaniel Barry
Michael Bynevelt
Suki Gill
Pejman Rowshan Farzad
Martin A Ebert
author_facet Saima Safdar
Nathaniel Barry
Michael Bynevelt
Suki Gill
Pejman Rowshan Farzad
Martin A Ebert
author_sort Saima Safdar
collection DOAJ
description The SlicerBatchBrainMRTumorSegmentation is a graphical user interface (GUI) based Python scripted module within 3D Slicer. Its purpose is to perform automated brain tumour segmentation for numerous patients while preserving data integrity and organization. Through automation, manual intervention at each stage of the Brain Tumor Segmentation (BraTS) toolkit becomes unnecessary, resulting in efficient processing of multiple patient cases. Being an open-source software implementation, the SlicerBatchBrainMRTumorSegmentation is licensed under the BSD (Berkeley Source Distribution) 3-Clause License, facilitating its use by the broader research community. This tool empowers users to explore diverse segmentation approaches, fosters research advancements, and stimulates innovation in the field of brain tumour analysis.
format Article
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institution Kabale University
issn 2352-7110
language English
publishDate 2024-12-01
publisher Elsevier
record_format Article
series SoftwareX
spelling doaj-art-c16d27f14319480b89af24340688c09d2024-11-29T06:24:16ZengElsevierSoftwareX2352-71102024-12-0128101966SlicerBatchBrainMRTumorSegmentation: Automating brain tumor segmentation in 3D slicer for improved efficiency and research supportSaima Safdar0Nathaniel Barry1Michael Bynevelt2Suki Gill3Pejman Rowshan Farzad4Martin A Ebert5The University of Western Australia, 35 Stirling Hwy, Crawley WA 6009; Corresponding author.The University of Western Australia, 35 Stirling Hwy, Crawley WA 6009Neurological Intervention & Imaging service WA, Sir Charles Gairdner Hospital, Hospital Ave, Nedlands WA 6009Radiation Oncology, Sir Charles Gairdner Hospital, Hospital Ave, Nedlands WA 6009The University of Western Australia, 35 Stirling Hwy, Crawley WA 6009The University of Western Australia, 35 Stirling Hwy, Crawley WA 6009; Radiation Oncology, Sir Charles Gairdner Hospital, Hospital Ave, Nedlands WA 6009The SlicerBatchBrainMRTumorSegmentation is a graphical user interface (GUI) based Python scripted module within 3D Slicer. Its purpose is to perform automated brain tumour segmentation for numerous patients while preserving data integrity and organization. Through automation, manual intervention at each stage of the Brain Tumor Segmentation (BraTS) toolkit becomes unnecessary, resulting in efficient processing of multiple patient cases. Being an open-source software implementation, the SlicerBatchBrainMRTumorSegmentation is licensed under the BSD (Berkeley Source Distribution) 3-Clause License, facilitating its use by the broader research community. This tool empowers users to explore diverse segmentation approaches, fosters research advancements, and stimulates innovation in the field of brain tumour analysis.http://www.sciencedirect.com/science/article/pii/S23527110240033643D slicerImage analysisSegmentationNeural networksGUIBraTS-Toolkit
spellingShingle Saima Safdar
Nathaniel Barry
Michael Bynevelt
Suki Gill
Pejman Rowshan Farzad
Martin A Ebert
SlicerBatchBrainMRTumorSegmentation: Automating brain tumor segmentation in 3D slicer for improved efficiency and research support
SoftwareX
3D slicer
Image analysis
Segmentation
Neural networks
GUI
BraTS-Toolkit
title SlicerBatchBrainMRTumorSegmentation: Automating brain tumor segmentation in 3D slicer for improved efficiency and research support
title_full SlicerBatchBrainMRTumorSegmentation: Automating brain tumor segmentation in 3D slicer for improved efficiency and research support
title_fullStr SlicerBatchBrainMRTumorSegmentation: Automating brain tumor segmentation in 3D slicer for improved efficiency and research support
title_full_unstemmed SlicerBatchBrainMRTumorSegmentation: Automating brain tumor segmentation in 3D slicer for improved efficiency and research support
title_short SlicerBatchBrainMRTumorSegmentation: Automating brain tumor segmentation in 3D slicer for improved efficiency and research support
title_sort slicerbatchbrainmrtumorsegmentation automating brain tumor segmentation in 3d slicer for improved efficiency and research support
topic 3D slicer
Image analysis
Segmentation
Neural networks
GUI
BraTS-Toolkit
url http://www.sciencedirect.com/science/article/pii/S2352711024003364
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