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提升精度:对来自BraTS挑战 (2012-2025) 的MRI细分数据集的全面审查 (2012-2025)

Beatrice Bonato¹, Loris Nanni¹, Alessandra Bertoldo¹

¹Department of Information Engineering, University of Padova, Via Giovanni Gradenigo 6b, 35131 Padova, Italy.

Sensors (Basel, Switzerland)

|April 28, 2025

概括

本综述详细介绍了2012-2024年脑瘤细分 (BraTS) 数据集的演变,展示了基于MRI的细分方面的进展以及精准医学的未来方向.

科学领域:

医疗成像医学成像
人工智能在医学中的应用
神经瘤学神经瘤学

背景情况:

脑瘤细分 (BraTS) 挑战在推进使用MRI进行自动化脑瘤细分方面发挥了关键作用.
这些挑战推动了开发复杂的算法分析复杂的神经成像数据的创新.

研究的目的:

提供从2012年到2024年的BraTS数据集的全面审查.
检查BraTS数据集对基于MRI的脑瘤细分的演变,挑战和贡献.
为研究人员,临床医生和行业利益相关者合成见解.

主要方法:

从2012年到2024年对BraTS挑战数据集的系统审查.
分析数据集的增长,复杂性和范围.
检查预处理和注释协议的改进.
综合了对细分方法影响和局限性的研究结果.

主要成果:

BraTS数据集的规模和复杂性逐渐增加,包括改进的预处理和注释.
审查阐明了数据集策划的进展及其对最先进的细分方法的影响.
确定了数据集开发和细分技术的持续局限性和未来方向.

结论:

BraTS数据集对该领域做出了重大贡献,使得可靠和临床相关的细分方法成为可能.
BraTS数据集的演变支持神经瘤学精准医学的进步.
即将到来的BraTS 2025挑战将进一步扩大其重点,以解决更广泛的临床需求.

关键词:

在BraTS的挑战中,我们面临着挑战.核磁共振成像 (MRI) 的成像大脑瘤的细分脑瘤的细分临床应用临床应用数据集的演变数据集的演变质瘤质瘤是一种精准医学是一门精准医学.

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