About Dataset

Chest X-ray Object Detection & Segmentation Dataset

The dataset consists of .dcm files containing X-ray images of the thorax. The images are labeled by the doctors and accompanied by corresponding annotations in JSON format. The annotations provide detailed information about the organ structures present in the chest X-ray images.

💴 For Commercial Usage: Full version of the dataset includes 400+ chest x-rays of people with different conditions, leave a request on TrainingData to buy the dataset

Types of diseases and conditions in the dataset:

Petrifications
Nodule/mass
Infiltration/Consolidation
Fibrosis
Dissemination
Pleural effusion
Hilar enlargement
Annular shadows
Healed rib fracture
Enlarged medinastium
Rib fractures
Pneumothorax
Atelectasis

Statistics for the dataset:

The dataset aims to aid in the development and evaluation of algorithms for automated detection and classification of thoracic organ abnormalities and diseases.

The dataset is valuable for research in neurology, radiology, and oncology. It allows the development and evaluation of computer-based algorithms, machine learning models, and deep learning techniques for automated detection, diagnosis, and classification of these conditions.

OTHER MEDICAL DATASETS:

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Content

The dataset includes:

files: includes x-ray scans in .dcm format,
annotations: includes annotations in JSON format made for files in the previous folder,
visualizations: includes visualizations of the annotations,
.csv file: includes links to the fies and metadata

File with the extension .csv includes the following information for each media file:

dcm_path: link to access the .dcm file,
annotation_path: link to access the file with annotation in JSON-format,
age: age of the person in the x-ray scan,
sex: gender of the person in the x-ray scan,
StudyInstanceUID: id of the study,
Nodule/mass: wheter nodule/mass is observed,
Dissemination: wheter dissemination is observed,
Annular shadows: wheter annular shadows are observed,
Petrifications: wheter petrifications are observed,
Pleural effusion: wheter pleural effusion is observed

Medical data might be collected in accordance with your requirements.

TrainingData provides high-quality data annotation tailored to your needs

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