Mayo Clinic 海马易损性研究数据集
该尸检队列是在应用严格的神经病理学纳入/排除标准后选出的。所有病例均由单一神经病理学家(DWD)进行标准化神经病理评估,包括宏观和微观评估

基本信息
资源简介
Mayo Clinic 海马易损性研究数据集
该尸检队列是在应用严格的神经病理学纳入/排除标准后选出的。所有病例均由单一神经病理学家(DWD)进行标准化神经病理评估,包括宏观和微观评估
【数据内容】
源站描述(机器翻译,仅供参考):The Mayo Clinic Hippocampal Vulnerability Study (MayoHippocampus) 阿尔茨海默病(AD)与对照脑标本取自 Mayo Clinic/MEMurray 和 DWDickson 神经科学系脑库,该脑库保存超过 3,300 例 AD 样本。本研究得到 New Vision Research Investigator Award 的支持;美国国家老龄化研究所(R01 AG054449、R01 AG075802、U01 AG057195、P01 AG003949、P30 AG062677、P50 AG047266、U01 AG006786 和 R01 AG034676);佛罗里达州卫生部 Ed and Ethel Moore 阿尔茨海默病研究项目(6AZ01、8AZ06、20A22);以及阿尔茨海默病协会(AARG-17-533458)。该尸检队列是在应用严格的神经病理学纳入/排除标准后选出的。所有病例均由单一神经病理学家(DWD)进行标准化神经病理评估,包括宏观和微观评估。每个
【主题与分类】
主题标签:阿尔茨海默病、海马、尸检脑组织、神经病理学、Mayo Clinic、MEMurray、DWDickson。本站分类:肿瘤。
【获取与许可】
源站页面:https://synapse.org/Synapse:syn32141161
下载信息
注册下载
需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。
需登录公开下载
无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。
暂未开放有偿下载
公开数据集受托下载与技术交付服务。
提供高速下载与技术交付服务(收技术服务费,非数据销售)
暂未开放当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。
使用方式
数据集获取
源站:https://synapse.org/Synapse:syn32141161
标准获取流程:
- 访问源站链接,注册/登录账号;
- 进入数据集详情页,按页面指引申请权限或直接下载;
- 部分平台提供 SDK,例如:
- OpenDataLab:
pip install openxlab后openxlab.dataset.get(...) - ModelScope:
pip install modelscope后modelscope download - 天池: 登录后页面提供直链下载
以源站「数据下载/使用文档」页面为准。
- OpenDataLab:
数据说明
The Mayo Clinic Hippocampal Vulnerability Study (MayoHippocampus) Alzheimer’s disease (AD) and control brain specimens were obtained from the Mayo Clinic/MEMurray and DWDickson Department of Neuroscience Brain Bank which houses over 3,300 AD samples. This research was supported by a New Vision Research Investigator Award; National Institute on Aging (R01 AG054449, R01 AG075802, U01 AG057195, P01 AG003949, P30 AG062677, P50 AG047266, U01 AG006786, and R01 AG034676); the Florida Department of Health, Ed and Ethel Moore Alzheimer’s Disease Research Program (6AZ01, 8AZ06, 20A22); and the Alzheimer’s Association (AARG-17-533458). This postmortem cohort was selected after applying stringent neuropathologic inclusion/exclusion criteria. All cases underwent standardized neuropathologic assessment by a single neuropathologist (DWD), which included macroscopic and microscopic evaluation. Each case is neuropathologically assessed using hematoxylin and eosin, thioflavin-S fluorescent microscopy, anti-tau (CP13) and anti-alpha synuclein (LB509). Using thioflavin-S, quantitative measures of senile plaques and neurofibrillary tangle densities were assessed, and a Braak tangle stage assigned as previously described based upon the topographic distribution [1]. In an effort to reduce neurobiologic heterogeneity, we excluded cases with co-existing pathologies (e.g. Lewy body pathology, tauopathies, tumors) [3, 4], and cases with significant cerebrovascular disease (e.g. infarcts, hippocampal ischemia) using a modified Kalaria scoring protocol [2]. The final cohort consisted of 40 Alzheimer’s disease cases and 15 nondemented controls. Covariates including demographics and neuropathologic data were collected on the samples used for this project including race, age of death, Braak, sex, APOE genotype, and a series of neuropathological variables. Literature Cited 1. Braak H, Braak E (1991) Neuropathological stageing of Alzheimer-related changes. Acta Neuropathol 82: 239-259. https
数据加载示例(图像类)
from PIL import Image
import glob, os
files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)
# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path) # 要求 子目录=类别
目录组织与标注格式以源站说明和下载后实际文件为准。
数据缺失?
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