TrainingDataPro/brain-anomaly-detection

---
license: cc-by-nc-nd-4.0
task_categories:
- image-classification
- image-to-image
- image-segmentation
- object-detection
language:
- en
tags:
- medical
- code
- biology
---
# Brain MRI Dataset, Arnold-Chiari Malformation Detection & Segmentation

The dataset consists of .dcm files containing **MRI scans of the brain** of the person with a Arnold-Chiari Malformation. The images are **labeled** by the doctors and accompanied by **report** in PDF-format.

The dataset includes 6 studies, made from the different angles which provide a comprehensive understanding of a Arnold-Chiari Anomaly and signs of dysplasia of the cranio-vertebral junction (platybasia).

### MRI study angles in the dataset

# 💴 For Commercial Usage: Full version of the dataset includes 100,000 brain studies of people with different conditions, leave a request on **[TrainingData](https://trainingdata.pro/datasets/brain-mri?utm_source=huggingface&utm_medium=cpc&utm_campaign=brain-anomaly-detection)** to buy the dataset

### Types of diseases and conditions in the full dataset:
- Cancer
- Multiple sclerosis
- Metastatic lesion
- Arnold-Chiari malformation
- Focal gliosis of the brain
- **AND MANY OTHER CONDITIONS**

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The dataset holds great value for researchers and medical professionals involved in oncology, radiology, and medical imaging. It can be used for a wide range of purposes, including developing and evaluating novel imaging techniques, training and validating machine learning algorithms for automated tumor detection and segmentation, analyzing tumor response to different treatments, and studying the relationship between imaging features and clinical outcomes.

# 💴 Buy the Dataset: This is just an example of the data. Leave a request on [https://trainingdata.pro/datasets](https://trainingdata.pro/datasets/brain-mri?utm_source=huggingface&utm_medium=cpc&utm_campaign=brain-anomaly-detection) to discuss your requirements, learn about the price and buy the dataset

# Content

### The dataset includes:
- **ST000001**: includes subfolders with 6 studies. Each study includes MRI-scans in **.dcm and .jpg formats**,
- **DICOMDIR**: includes information about the patient's condition and links to access files,
- **Brain_MRI_3.pdf**: includes medical report, provided by the radiologist,
- **.csv file**: includes id of the studies and the number of files

### Medical reports include the following data:
- Patient's **demographic information**,
- **Description** of the case,
- Preliminary **diagnosis**,
- **Recommendations** on the further actions

*All patients consented to the publication of data*

# Medical data might be collected in accordance with your requirements.

## [TrainingData](https://trainingdata.pro/datasets/brain-mri?utm_source=huggingface&utm_medium=cpc&utm_campaign=brain-anomaly-detection) provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: **<https://www.kaggle.com/trainingdatapro/datasets>**

TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**

*keywords: mri brain scan, brain tumor, brain cancer, oncology, neuroimaging, radiology, brain metastasis, glioblastoma, meningioma, pituitary tumor, medulloblastoma, astrocytoma, oligodendroglioma, ependymoma, neuro-oncology, brain lesion, brain metastasis detection, brain tumor classification, brain tumor segmentation, brain tumor diagnosis, brain tumor prognosis, brain tumor treatment, brain tumor surgery, brain tumor radiation therapy, brain tumor chemotherapy, brain tumor clinical trials, brain tumor research, brain tumor awareness, brain tumor support, brain tumor survivor, neurosurgery, neurologist, neuroradiology, neuro-oncologist, neuroscientist, medical imaging, cancer detection, cancer segmentation, tumor, computed tomography, head, skull, brain scan, eye sockets, sinuses, computer vision, deep learning*

原始信息汇总

脑部MRI数据集，Arnold-Chiari畸形检测与分割

数据集概述

该数据集包含脑部MRI扫描的.dcm文件，这些扫描来自患有Arnold-Chiari畸形的患者。图像由医生进行标注，并附有PDF格式的报告。

数据集内容

• ST000001: 包含6个研究子文件夹，每个研究包含**.dcm和.jpg格式的MRI扫描**。
• DICOMDIR: 包含患者病情信息及文件访问链接。
• Brain_MRI_3.pdf: 包含由放射科医生提供的医疗报告。
• .csv文件: 包含研究ID和文件数量。

医疗报告内容

• 患者的人口统计信息。
• 病例描述。
• 初步诊断。
• 关于进一步行动的建议。

数据集价值

该数据集对涉及肿瘤学、放射学和医学成像的研究人员和医疗专业人员具有重要价值。可用于开发和评估新型成像技术、训练和验证用于自动肿瘤检测和分割的机器学习算法、分析肿瘤对不同治疗的反应以及研究成像特征与临床结果之间的关系。

许可

该数据集的许可为cc-by-nc-nd-4.0。

任务类别

• 图像分类
• 图像到图像
• 图像分割
• 目标检测

语言

• 英语

标签

• 医学
• 代码
• 生物学