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

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

SoftwareX Pub Date : 2024-11-13 DOI:10.1016/j.softx.2024.101966

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

引用次数: 0

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 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.

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SlicerBatchBrainMRTumorSegmentation：在三维切片机中自动进行脑肿瘤分割，提高效率并为研究提供支持

SlicerBatchBrainMRTumorSegmentation 是 3D Slicer 中一个基于图形用户界面 (GUI) 的 Python 脚本模块。其目的是在保持数据完整性和组织性的同时，为众多患者执行自动脑肿瘤分割。通过自动化，脑肿瘤分割（BraTS）工具包的每个阶段都无需人工干预，从而可高效处理多个患者病例。作为一款开源软件，SlicerBatchBrainMRTumorSegmentation 采用 BSD（伯克利源代码发布）3 条款许可，便于更广泛的研究团体使用。该工具使用户能够探索不同的分割方法，促进研究进展，并激励脑肿瘤分析领域的创新。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.50

自引率

2.90%

发文量

184

审稿时长

9 weeks

期刊介绍： SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.