脑肿瘤

本数据集包含多机构收集的胶质瘤（Glioma）患者的术前多模态MRI影像，旨在支持脑肿瘤自动检测、分割与分级算法的研发。胶质瘤是最常见的原发性脑恶性肿瘤，精确评估其亚区域（坏死核心、增强肿瘤、水肿）对手术规划、放疗靶区勾画和预后评估至关重要。通过提供高质量标注数据，本数据集期望降低医生手动勾画的工作量，提升诊疗标准化水平。This dataset contains pre-operative multimodal MRI images of glioma patients collected by multiple institutions, aiming to support the development of automatic detection, segmentation and grading algorithms for brain tumors. Glioma is the most common primary malignant brain tumor. Accurate assessment of its subregions (necrosis core, enhancing tumor, and edema) is critical for surgical planning, radiotherapy target delineation, and prognostic evaluation. By providing high-quality annotated data, this dataset intends to reduce the manual delineation workload of clinicians and improve the standardization of diagnosis and treatment.

搜集汇总

背景与挑战

背景概述

该数据集提供了多机构收集的胶质瘤患者术前多模态MRI影像，旨在支持脑肿瘤的自动检测、分割与分级算法开发。通过提供高质量标注数据，它有助于减少医生手动勾画的工作负担，并促进诊疗过程的标准化。