多发性硬化症数据集仓库
该数据集是一个专注于多发性硬化症(MS)的医学影像资源库,主要包含MRI图像模态,旨在为研究人员提供公开可访问的数据集,以支持多发性硬化症的分割、分类及疾病分析研究,适用于医学图像处理和神经科学领域的应用。
基本信息
资源简介
该数据集是一个专门收集与多发性硬化症(MS)相关的医学影像数据集的资源库,主要用于支持多发性硬化症的分割和分类研究。它汇总了包含MRI图像在内的多种影像数据集,这些数据来源于公开可访问的资源。该数据集为研究人员提供了便捷的访问途径,适用于医学图像分析、疾病诊断辅助和神经科学研究等方向。
下载信息
注册下载
Tips: 该数据集需要在对应的数据源网站注册通过后,才能进行数据下载,注册有对应要求,或者需要收费。
暂未开放公开下载
Tips: 该数据集属于公开下载,应该可以免费公开下载。
免登录有偿下载
Tips: 该数据集 Qianfanghub 可以协助提供有偿下载服务,注意,服务不针对数据相关产权,只是技术服务费。
提供高速下载与技术交付服务(收技术服务费,非数据销售)
暂未开放千方医数集,医疗数据集部分,是为社区服务的公开医疗数据集搜索引擎,并不存储或者下载原始的任何数据。 如果您有其他医疗数据需求,可以和客服联系,或者下工单。我们有强大的三甲医疗机构帮助您提供个性化的医疗数据定制、采集、标注服务。
使用方式
数据集获取
git clone https://github.com/Fatimaxox/MS-Datasets-Sparks.git
curl -L -o repo.zip https://github.com/Fatimaxox/MS-Datasets-Sparks/archive/refs/heads/main.zip
unzip repo.zip
源站 README 摘录(使用方式)
MS Datasets Repository
Welcome to the MS Datasets Repository! <br>
This repository is dedicated to showcasing datasets used in both segmentation and classification problems related to Multiple Sclerosis (MS). <br>
Here, researchers and individuals interested in MS can easily access various datasets containing MRI images.
MS Segmentation
Dataset 1: Brain MRI Dataset of MS with Consensus Manual Lesion Segmentation and Patient Meta Information
- Source: Baghdad Teaching Hospital
- Number of Subjects: 60 patients
- MRI Sequences Included: T1, T2, and Flair
- Year of Publication: 2022
- Data Type: NIFIT
Dataset 2: ISBI2015 MS Dataset or MS Longitudinal Challenge DataSet
- Source: Johns Hopkins University and Johns Hopkins Hospital
- Number of Subjects: 20 cases
- MRI Sequences Included: T1, T2, MPRAGE, Flair, and PD
- Year of Publication: 2015
- Data Type: NIFIT
Dataset 3: Multiple Sclerosis 2016 Lesion
- Number of Subjects: 53 with 10 cases
- MRI Sequences Included: T1, T2, Flair, and DP
- Year of Publication: 2016
- Data Type: NIFIT
Dataset 4: 2008 MICCAI MS Lesion Segmentation Challenge
- Number of Subjects: 45 with 5 cases
- MRI Sequences Included: T1, T2, Flair
- Last Modified: 2016
- Data Type: NHDR
Dataset 5: MICCAI 2021 - Longitudinal Multiple Sclerosis Lesion Segmentation Challenge
- Source: French Registry on Multiple Sclerosis
- Number of Subjects: 100 with 40 cases
- MRI Sequence Included: Flair
- Year of Publication: 2021
- Data Type: NIFIT
MS Classification
For classification, a local Saudi dataset obtained from King Fahad Specialists Hospital was utilized. A total of 229 patients participated, with MRI orientation covering Brain (Axial, Coronal, Sagittal) and Spinal cord. The MRI sequences included T1, T2, and FLAIR.
Additionally, other resources were utilized:
- Normal cases taken from Brain Tumor MRI Images - 17 Classes with 50 samples taken from T1, T2.
- Not MS cases from Brain Tumor MRI Dataset with 263 samples for the 3 types of tumor.
Contributors
This repository was made by Sparks Team. <br>
MSolutions
🧠🔬📊
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。
精度瓶颈?数据缺失?
当前公开数据无法满足您的算法精度?千方提供针对 多发性硬化 的高质量、多模态真实临床数据定制解决方案。




