MRI-GBM-MET数据集是一个包含90名人类受试者的轴向脑部MRI扫描集合，这些受试者被诊断为胶质母细胞瘤（GBM）或脑转移瘤（MET）。该数据集旨在支持医学图像分类、诊断研究和多模态评估任务。所有受试者级别的诊断标签均经过组织病理学确认（术后活检或切除），并完全独立于放射学掩模。数据集包括由经过认证的神经放射科医生进行的像素级专家注释，用于识别包含病变的切片。数据集提供四种配置：完整体积序列

Hugging Face2026-06-20 更新50

MRI image dataset distribution.

脑肿瘤分类

医学影像深度学习

The uncontrollable and rapid growth of brain cells can lead to brain tumors. If left untreated, this condition may result in severe health consequences, including death. Accurate detection and classif

NIAID Data Ecosystem40

Brain Tumor Classification MRI Images

医学影像

脑肿瘤分类

Brain Tumor Classification MRI Dataset into 3 type of tumor

kaggle2021-07-04 更新310

T2-weighted imaging hypointensity in an ovarian lesion: is it a benign finding?

卵巢病变影像诊断

MRI影像

ABSTRACT Objective To evaluate whether the presence of a hypointense signal at T2-weighted imaging in a solid ovarian lesion on magnetic resonance imaging is a predictor of stability and benignity.

NIAID Data Ecosystem50

Brain Tumor MRI Classification Dataset 2025

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