Work

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

Year: 2024

Type: software-paper

Abstract: 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 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 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.

Source: SoftwareX

DOI: 10.1016/j.softx.2024.101966

Authors: Saima Safdar, Nathaniel Barry, Michael Bynevelt, Suki Gill, Pejman Rowshan Farzad, Martin A Ebert

Institutions: The University of Western Australia, Sir Charles Gairdner Hospital

Language: English

Topic: Brain Tumor Detection and Classification

Subfield: Neurology

Field: Neuroscience

Domain: Life Sciences

Open Access status: gold

Estimated APC paid: $970

Funders: Royal Perth Hospital Medical Research Foundation, University of Western Australia, Cancer Council Tasmania

OpenAlex ID: W4404280673

Cites: 26

Cited by: 1

Related to: 10