metadata

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 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

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 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 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

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