Simplify medical image labeling at scale.
From 2D frames to volumetric 3D scans, Taskmonk supports AI‑assisted medical data annotation workflows with full compliance and built‑in collaboration.
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Advanced features for medical data annotation
Support every modality, automate repetitive work, measure quality, protect PHI, and collaborate in one compliant platform.
Multi-format support
Import DICOM series and NIfTI volumes with full header retention, including UIDs, orientation, and pixel spacing. Annotate CT, MRI, X-ray, ultrasound, mammography, and PET studies confidently. Exports preserve metadata and registration so masks align across planes, tools, and downstream pipelines.
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AI-assisted labeling & automation
Pre-label anatomy and regions with model suggestions, mask propagation, and auto-segmentation to lift throughput. Low-confidence cases are sent to expert review. Rules enforce required fields, while routing, reminders, and scheduled exports keep studies moving from annotation to approval without bottlenecks.
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Advanced visualization & tools
Adjust window/level, run MPR/MIP, and review cine playback for context. Work precisely with brush, rectangle, line, polygon, spline, callipers, and angle tools, text plus shortcuts for faster, repeatable boundaries.
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Security & Compliance
Security of medical data annotation is aligned with SOC 2, HIPAA, and GDPR. Encryption, SSO/RBAC, audit logs, and optional VPC keep PHI protected while vetted medical annotators help you produce trusted training data.
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Workflow scalability & QA
Tasks are auto-assigned to the right people. Add review steps as needed; dashboards track speed, quality, and backlog so you scale smoothly.
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Collaboration & integrations
Unite radiologists, data scientists, and QA in one workspace. Assign tasks, flag issues, run consensus reviews, track inter-reader variability, and keep a searchable audit trail—no email chains or exports.
Use cases for medical imaging annotation
End-to-end DICOM annotation for CT, MRI, X-ray, Ultrasound, PET, and medical records with automation, QA, and secure workflows—trusted by healthcare innovators
CT
Annotate multi-slice and volumetric CT. Segment organs or lesions, detect nodules, and measure volumes with HU window/level.
MRI
Label MRI (DICOM/NIfTI) across T1, T2, FLAIR, and DWI. Create 2D/3D masks, track changes over time, and export clean datasets.
X-ray
Label chest, bone, and dental X-rays at scale to train AI for fracture detection and dental caries on panoramic films.
Ultrasound
Annotate ultrasound cine loops. Set keyframes, track regions across frames, and keep DICOM metadata intact.
PET
Segment lesions on PET and PET/CT, capture SUV values, and align with CT for therapy response tracking.
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Medical Records
Tag and organize EHR notes, reports, and academic papers; export clean datasets for clinical NLP and AI models.
CT
Annotate multi-slice and volumetric CT. Segment organs or lesions, detect nodules, and measure volumes with HU window/level.
MRI
Label MRI (DICOM/NIfTI) across T1, T2, FLAIR, and DWI. Create 2D/3D masks, track changes over time, and export clean datasets.
X-ray
Label chest, bone, and dental X-rays at scale to train AI for fracture detection and dental caries on panoramic films.
Ultrasound
Annotate ultrasound cine loops. Set keyframes, track regions across frames, and keep DICOM metadata intact.
PET
Segment lesions on PET and PET/CT, capture SUV values, and align with CT for therapy response tracking.
Medical Records
Tag and organize EHR notes, reports, and academic papers; export clean datasets for clinical NLP and AI models.
CT
Annotate multi-slice and volumetric CT. Segment organs or lesions, detect nodules, and measure volumes with HU window/level.
MRI
Label MRI (DICOM/NIfTI) across T1, T2, FLAIR, and DWI. Create 2D/3D masks, track changes over time, and export clean datasets.
X-ray
Label chest, bone, and dental X-rays at scale to train AI for fracture detection and dental caries on panoramic films.
Ultrasound
Annotate ultrasound cine loops. Set keyframes, track regions across frames, and keep DICOM metadata intact.
PET
Segment lesions on PET and PET/CT, capture SUV values, and align with CT for therapy response tracking.
Medical Records
Tag and organize EHR notes, reports, and academic papers; export clean datasets for clinical NLP and AI models.
CT
Annotate multi-slice and volumetric CT. Segment organs or lesions, detect nodules, and measure volumes with HU window/level.
MRI
Label MRI (DICOM/NIfTI) across T1, T2, FLAIR, and DWI. Create 2D/3D masks, track changes over time, and export clean datasets.
X-ray
Label chest, bone, and dental X-rays at scale to train AI for fracture detection and dental caries on panoramic films.
Ultrasound
Annotate ultrasound cine loops. Set keyframes, track regions across frames, and keep DICOM metadata intact.
PET
Segment lesions on PET and PET/CT, capture SUV values, and align with CT for therapy response tracking.
Medical Records
Tag and organize EHR notes, reports, and academic papers; export clean datasets for clinical NLP and AI models.
CT
Annotate multi-slice and volumetric CT. Segment organs or lesions, detect nodules, and measure volumes with HU window/level.
MRI
Label MRI (DICOM/NIfTI) across T1, T2, FLAIR, and DWI. Create 2D/3D masks, track changes over time, and export clean datasets.
X-ray
Label chest, bone, and dental X-rays at scale to train AI for fracture detection and dental caries on panoramic films.
Ultrasound
Annotate ultrasound cine loops. Set keyframes, track regions across frames, and keep DICOM metadata intact.
PET
Segment lesions on PET and PET/CT, capture SUV values, and align with CT for therapy response tracking.
Medical Records
Tag and organize EHR notes, reports, and academic papers; export clean datasets for clinical NLP and AI models.
Why trust Taskmonk for DICOM annotation projects
End-to-end DICOM annotation for CT, MRI, X-ray, Ultrasound, PET, and medical records with automation, QA, and secure workflows—trusted by healthcare innovators
Proven at scale
200M+ tasks and 5M+ labeling hours across CT, MRI, X-ray, Ultrasound, PET, and mammography, delivered with 99.9% uptime. Built for volumetric series, time-series studies, and large multi-site datasets.
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Trusted by healthcare AI enterprises
Chosen by providers, med-techs, and CROs, including multiple Fortune 500 teams, for PHI-safe DICOM/NIfTI workflows. Controls align with SOC 2, HIPAA, and GDPR to meet internal and regulatory reviews.
Measurable outcomes
AI-assisted pre-labeling and consensus QA cut cycle time and rework, improve inter-reader agreement, and move datasets from collection to model deployment sooner, without sacrificing clinical accuracy.
Reliable delivery
Region pinning, private cloud or VPC options, and complete audit logs keep sensitive studies protected and auditable. PACS and pipeline integrations maintain throughput and keep deliveries on schedule.
Workflows that perfectly fit your medical image labeling
No-code builder & templates
Add steps like Annotate, Review, Consensus, and Sign-off. Start fast with templates for CT, MRI, X-ray, Ultrasound, PET, and records.
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Smart routing & QA
Assign work by skill or deadline. Set simple pass rules and send disagreements to an expert.
Automation, integrations & audit
Connect PACS or cloud storage and export labels automatically. Every change is logged and time-stamped
No-code builder & templates
Add steps like Annotate, Review, Consensus, and Sign-off. Start fast with templates for CT, MRI, X-ray, Ultrasound, PET, and records.
Smart routing & QA
Assign work by skill or deadline. Set simple pass rules and send disagreements to an expert.
Automation, integrations & audit
Connect PACS or cloud storage and export labels automatically. Every change is logged and time-stamped
Design, automate, and audit every step—from annotation to sign-off, without code.
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Enterprise grade security for your DICOM annotation projects
Compliance & core controls
Encryption in transit and at rest, SSO/SAML, role-based access, and full audit logs. Built to meet SOC 2, HIPAA, and GDPR.
Your cloud, your region
Connect your own AWS, GCP, or Azure buckets. Keep data in-region and isolate with VPCs and private links
PHI de-identification & governance
De-identify DICOM headers, use least-privilege roles, manage access via API/SDK, and keep every change time-stamped.
Compliance & core controls
Encryption in transit and at rest, SSO/SAML, role-based access, and full audit logs. Built to meet SOC 2, HIPAA, and GDPR.
Your cloud, your region
Connect your own AWS, GCP, or Azure buckets. Keep data in-region and isolate with VPCs and private links
PHI de-identification & governance
De-identify DICOM headers, use least-privilege roles, manage access via API/SDK, and keep every change time-stamped.
Data security is always a priority. Protect PHI with SOC 2, HIPAA, and GDPR aligned controls
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Expert labeling services for medical AI & data annotation
Secure, scalable, cost-predictable
Security aligned with SOC 2, HIPAA, and GDPR. PHI de-identification, role-based access, and region pinning. Flexible team sizes and cost-effective pricing.
Medical data annotation expertise
Radiologists, sonographers, and trained labelers with modality-specific playbooks. Consistent, high-quality labels for CT, MRI, X-ray, ultrasound, PET, and medical records.
Proof of concept
Share a sample dataset and goals. We’ll stand up a workflow, assign annotators, and return labeled samples with a QA report in 48–72 hours.
End-to-end project management
We scope the task, define guidelines, set up workflows, and run QA to delivery. One point of contact, weekly SLAs, and transparent dashboards.
Secure, scalable, cost-predictable
Security aligned with SOC 2, HIPAA, and GDPR. PHI de-identification, role-based access, and region pinning. Flexible team sizes and cost-effective pricing.
Medical data annotation expertise
Radiologists, sonographers, and trained labelers with modality-specific playbooks. Consistent, high-quality labels for CT, MRI, X-ray, ultrasound, PET, and medical records.
Proof of concept
Share a sample dataset and goals. We’ll stand up a workflow, assign annotators, and return labeled samples with a QA report in 48–72 hours.
End-to-end project management
We scope the task, define guidelines, set up workflows, and run QA to delivery. One point of contact, weekly SLAs, and transparent dashboards.
No in-house team? Taskmonk provides managed DICOM/NIfTI and clinical text annotation—run by vetted medical annotators, with secure delivery and clear SLAs.
TALK TO OUR EXPERTS
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Rahul R.
Program Specialist
“Efficient Platform with Helpful Features and Support”
What do you like best about Taskmonk?
As a user, I found Taskmonk really easy to use once I got used to the interface. Navigating the platform feels smooth, and doing tasks is straightforward. The layout is clean, and everything is where you’d expect it to be. I used it everyday during my internship.
What do you dislike about Taskmonk?
One thing I disliked was the earlier issue with saving tasks — it caused some frustration during work. Thankfully, that’s now been resolved. That said, the platform has improved over time, and support is always quick to help when needed.
Rahul R.
Program Specialist
“Efficient Platform with Helpful Features and Support”
What do you like best about Taskmonk?
As a user, I found Taskmonk really easy to use once I got used to the interface. Navigating the platform feels smooth, and doing tasks is straightforward. The layout is clean, and everything is where you’d expect it to be. I used it everyday during my internship.
What do you dislike about Taskmonk?
One thing I disliked was the earlier issue with saving tasks — it caused some frustration during work. Thankfully, that’s now been resolved. That said, the platform has improved over time, and support is always quick to help when needed.
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FAQ
Which formats and modalities do you support for medical image annotation?
DICOM and NIfTI with full header retention. Works across CT, MRI, X-ray, Ultrasound, PET, Mammography, and clinical text/records.
How do you handle volumetric or time-series scans?
Annotate multi-slice 3D and 4D cine studies with plane views, interpolation, and consistent spacing so masks align across slices.
What AI assistance is available for medical annotation?
Pre-labels, mask propagation, and auto-segmentation speed up work. Low-confidence cases are flagged for human review.
How do you ensure label quality for DICOM annotation?
Set consensus rules, add review steps, and track inter-reader variability. Dashboards show accuracy, throughput, and backlog.
Do you offer labeling services for medical data annotation?
Yes. Vetted medical annotators and project managers can run end-to-end workflows with SLAs and QA reports.
Do I need special hardware to get started?
No. It’s cloud-based. Connect storage, configure a workflow, and start annotating from your browser.
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