Medical Imaging services · 08 / 10
Medical Imaging
DICOM-native segmentation and classification, reviewed by clinical specialists.
Medical data needs domain knowledge and discipline. Our medical workflows are run by trained annotators and reviewed by qualified clinicians under your protocol, on de-identified data, inside access-controlled environments.
Typical use cases
- Radiology (CT, MRI, X-ray)
- Digital pathology
- Ophthalmology
- Dental imaging
- Ultrasound
Sample deliverable
What the output looks like.
Synthetic demonstration scene. No client data.
Variants
3D volume segmentation
Slice-by-slice organ and lesion masks with volume consistency checks.
Findings classification
Study- and image-level labels to your ontology.
Measurement
Linear and area measurements for lesions and anatomy.
QA metric
Dice vs clinician gold
≥ 0.88
Clinical reviewer sign-off on every disputed case.
Export formats
- DICOM SEG
- NIfTI
- RT-STRUCT
- PNG masks
- COCO JSON
How every project runs
- Scope call & sample review
- Written guideline & gold set
- Fixed-fee pilot with QA report
- Production in weekly batches
Next step
Scope your project with
an annotation lead.
A 30-minute call with the person who would run your project. We review a sample of your data, recommend an approach and send a fixed-price proposal within two business days.