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Dataset

RadImageNet is a large database of annotated medical images from multiple modalities and of multiple pathologies. The data can be licensed for commercial use.  Use the contact form to request access to the academic dataset (reduced resolution, restricted labeling).

Large Size
Professionally Labeled
No Restrictions

RIN is comprised of 5 million labeled images of medical pathology with DICOM tags on  over 1 million PET, CT, Ultrasound and MRI studies from 500,000 patients.

The images have all been labeled by fellowship trained, clinically practicing US radiologists with appointments at New York Hospital/Cornell Medicine

The dataset has been validated as HIPAA compliant 

Images

coronal pd mri of knee with mcl tear

Label: MCL Tear

TR: 2853

TE: 53.1

FA: 111

Slice thickness: 3.5

Window width: 5409

Window Center: 1902

Patient age: 36

Patient sex: Male

ROI coordinates: (347,352)  (412,352)  

(473,212)  (473,379)

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sagittal pd mri of knee with acl tear

Label: ACL Tear

TR: 3408

TE: 58.6

FA: 111

Slice thickness: 3.5

Window width: 3496

Window Center: 1530

Patient age: 36

Patient sex: Male

ROI coordinates: (219,401)  (379,482)  

(419,238)  (403,362)

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