Amazon Sagemaker
Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.
DICOM Images De-identification - Base Free trial
By:
Latest Version:
5.5.0
Automated PHI redaction in DICOM images, preserving data integrity while ensuring compliance with healthcare privacy regulations.
Product Overview
This pipeline enables automated PHI redaction in DICOM images, ensuring compliance with HIPAA and other healthcare privacy regulations. The model performs the least intrusive form of DICOM de-identification removing only the most critical PHI from images and most essential metadata fields while preserving all non-sensitive details for research and analysis. The output is a de-identified DICOM document with blacked-out sensitive data, making it suitable for secure sharing, AI training, and regulatory compliance. Key applications includes: Automated PHI Redaction – Seamlessly integrate into hospital imaging systems; Secure Image Sharing – Enable safe collaboration across medical institutions; Compliance & Auditability – Maintain traceable PHI removal for regulatory adherence. With this solution, data scientists and healthcare providers can confidently process medical images while safeguarding patient privacy and research integrity.
Key Data
Version
Type
Model Package
Highlights
Benefits:
🔷Precision Masking: Accurately identifies and obscures PHI within images to maintain patient confidentiality.
🔷 Enhanced Data Security: Implements robust measures to ensure data remains protected both in transit and at rest.
🔷 Efficient Processing: Utilizes GPU resources for quick processing of large image files, reducing wait times significantly.
Additional resources
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Pricing Information
Use this tool to estimate the software and infrastructure costs based your configuration choices. Your usage and costs might be different from this estimate. They will be reflected on your monthly AWS billing reports.
Contact us to request contract pricing for this product.
Estimating your costs
Choose your region and launch option to see the pricing details. Then, modify the estimated price by choosing different instance types.
Version
Region
Software Pricing
Model Realtime Inference$23.76/hr
running on ml.m4.xlarge
Model Batch Transform$47.52/hr
running on ml.m4.2xlarge
Infrastructure PricingWith Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
Learn more about SageMaker pricing
With Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
Learn more about SageMaker pricing
SageMaker Realtime Inference$0.24/host/hr
running on ml.m4.xlarge
SageMaker Batch Transform$0.48/host/hr
running on ml.m4.2xlarge
About Free trial
Try this product for 14 days. There will be no software charges, but AWS infrastructure charges still apply. Free Trials will automatically convert to a paid subscription upon expiration.
Model Realtime Inference
For model deployment as Real-time endpoint in Amazon SageMaker, the software is priced based on hourly pricing that can vary by instance type. Additional infrastructure cost, taxes or fees may apply.InstanceType | Realtime Inference/hr | |
|---|---|---|
ml.m4.xlarge Vendor Recommended | $23.76 |
Usage Information
Sample notebook
Additional Resources
End User License Agreement
By subscribing to this product you agree to terms and conditions outlined in the product End user License Agreement (EULA)
Support Information
DICOM Images De-identification - Base
For any assistance, please reach out to support@johnsnowlabs.com. https://spark-nlp.slack.com/archives/C06HG18DDDH
AWS Infrastructure
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