Sold by: OneMedNet Corporation
Deployed on AWS
Pancreatic cancer is a malignant disease that develops in the pancreas, a gland located behind the stomach. It is one of the most aggressive and lethal types of cancer. The exact cause of pancreatic cancer is unknown, but several risk factors have been identified.
Pancreatic cancer often doesn't cause symptoms in the early stages. When symptoms do occur, they can be vague and similar to other conditions. It is important to continue to improve early detection for pancreatic cancer.
Overview
Datasets include:
- CT Abdomen/CT CAP/CT AP with portal venous phase of contrast.
- Contrast: Ultravist or Optiray used for imaging.
- Confirmed Diagnosis: Biopsy confirming pancreatic ductal adenocarcinoma (PDAC).
- Imaging: CT or MRI used to rule out other diseases not related to PDAC.
- Lab Results: Indicating autoimmune disease.
- Follow-Up: Imaging done to monitor disease progression, either showing changes or stability.
- This protocol helps in assessing PDAC and other potential conditions through advanced imaging and lab tests.
of Datasets
- 38 studies
Inclusion / Exclusion Criteria
- Normal studies
- Autoimmune pancreatitis
- Benign pancreatic tumore
- Chronic pancreatitis
- Non PDAC pancreatic tumor
- PDAC studies
- Portal Venous phase
- Histology report
- Follow up imaging
- Contrast requirement
- All scanning vendors
- Ages 22-89"
Details
Sold by
Categories
Delivery method
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimensions summary
This listing uses a single pricing dimension called Product Access (Units). It grants you access to the de-identified medical imaging dataset for pancreatic cancer CT scans. The product is free, so no charges apply for this access. The dataset is offered as a sample, published on AWS Marketplace with a one-month subscription. There are no tiers, instance sizes, or usage-based add-ons to choose from. You simply subscribe to gain access to the dataset under this one flat dimension.
Top-of-mind questions for buyers
One unit grants you access to the de-identified Pancreatic Cancer CT imaging dataset. This is a published sample cohort of medical imaging data. You get the dataset itself, not a per-image or per-patient charge. Access covers the sample data offered under this listing.
No. The product is free, so no charges accrue regardless of how much you access or analyze the data. There are no usage meters, overage fees, or tier thresholds. The dataset is offered as a sample with a one-month subscription and no cost.
This listing provides a published sample dataset, which is a fixed cohort of de-identified imaging data. It is not a continuous or longitudinal data stream. Real-time, updating cohorts are handled through separate arrangements, so contact the vendor for details on ongoing data access beyond this sample.
www.onemednet.com+1
Helpful?
Vendor refund policy
Refunds are not offered for this product.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
Pancreatic cancer_ct_pdac_biopsy_autoimmunepancreatitis_chronic pancreatitis_benign pancreatic tumor | All historical revisions | All future revisions | Not included | Not included |
Resources
Vendor resources
Similar products
This deep learning based solution provides chest CT analysis with precise segmentation of various anomalies and chest conditions.
State-of-the-Art Natural Language Processing libraries and Python notebooks tuned for the Healthcare domain. Includes licensed software & models for text mining, DL and Visual model training, tuning, and testing.
The product guarantees state-of-the-art accuracy, native scalability, optimizations for the latest hardware, and the ability to easily compose text and image processing pipelines.
DeepUnity PACSonWEB, is a cloud-native PACS that transforms how medical images and reports are distributed, shared, and visualized across the healthcare network. This healthcare professional-exclusive platform features a multi-monitor web viewer, advanced image enhancement capabilities, and integrated speech recognition for streamlined reporting.
Operating on a secure cloud infrastructure, DeepUnity PACSonWEB safeguards patient data through enterprise-grade encryption and comprehensive access controls. Healthcare providers can access diagnostic-quality images securely from any authorized device, supporting both on-site and remote workflows including teleradiology services.
The system seamlessly integrates with existing healthcare infrastructure while maintaining cost-effectiveness. Its design prioritizes operational efficiency without compromising security or diagnostic precision.
Available in select LATAM countries, subject to local regulatory approval and registration requirements.
AI-powered analytics and insights software for use in the clinical setting to analyze and visualize patient health and care data. A fully customizable, self-service platform that enables the generation, validation/confirmation and collaboration of insights from various research study tracks using patient and observational health data.