Sold by: MphasisÂ
Deployed on AWS
This deep learning based solution provides chest CT analysis with precise segmentation of various anomalies and chest conditions.
Overview
Customized Chest CT Anomaly Segmentation is an advanced deep learning solution specifically designed for chest CT-scan diagnosis. The solution utilizes state-of-the-art biomedical segmentation deep learning models and frameworks. It performs semantic segmentation on a wide range of chest anomalies and conditions, including tumors, infections, and lung diseases. This solution automates chest CT segmentation, reduces diagnosis time and aids in early detection and treatment planning.
Highlights
- The solution takes a contextual information learning approach to efficiently segment anomalies in chest CT scans and reduces the need of large labelled dataset for training. Leveraging this solution health care pracitioniers can use a small set of labelled data to understand the anomaly or other chest condition and perform segmentation on a much larger set of unlabelled samples.
- The solution is equipped with the capbility of precisely performing fine grained segmentation i.e sparsely labels where only a small and disburse parts of CT scan images is of interest. Our solution is recommended to be used as an assistant to the health care practitioners for large volume of data.
- PACE - ML is Mphasis Framework and Methodology for end-to-end machine learning development and deployment. PACE-ML enables organizations to improve the quality & reliability of the machine learning solutions in production and helps automate, scale, and monitor them. Need customized Machine Learning and Deep Learning solutions? Get in touch!
Details
Sold by
Delivery method
Latest version
Deployed on AWS
Unlock automation with AI agent solutions
Fast-track AI initiatives with agents, tools, and solutions from AWS Partners.
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
Pricing is based on actual usage, with charges varying according to how much you consume. 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.
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.p2.xlarge Inference (Batch) Recommended | Model inference on the ml.p2.xlarge instance type, batch mode | $5.00 |
ml.p2.xlarge Inference (Real-Time) Recommended | Model inference on the ml.p2.xlarge instance type, real-time mode | $5.00 |
ml.g5.2xlarge Training Recommended | Algorithm training on the ml.g5.2xlarge instance type | $10.00 |
ml.p3.8xlarge Inference (Batch) | Model inference on the ml.p3.8xlarge instance type, batch mode | $5.00 |
ml.p3.2xlarge Inference (Batch) | Model inference on the ml.p3.2xlarge instance type, batch mode | $5.00 |
ml.p2.8xlarge Inference (Batch) | Model inference on the ml.p2.8xlarge instance type, batch mode | $5.00 |
ml.p2.16xlarge Inference (Batch) | Model inference on the ml.p2.16xlarge instance type, batch mode | $5.00 |
ml.p3.16xlarge Inference (Batch) | Model inference on the ml.p3.16xlarge instance type, batch mode | $5.00 |
ml.p3.8xlarge Inference (Real-Time) | Model inference on the ml.p3.8xlarge instance type, real-time mode | $5.00 |
ml.p3.2xlarge Inference (Real-Time) | Model inference on the ml.p3.2xlarge instance type, real-time mode | $5.00 |
Vendor refund policy
Currently we do not support refunds, but you can cancel your subscription to the service at any time.
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)Â .
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
Amazon SageMaker algorithm
An Amazon SageMaker algorithm is a machine learning model that requires your training data to make predictions. Use the included training algorithm to generate your unique model artifact. Then deploy the model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
Deploy the model on Amazon SageMaker AI using the following options:
Version release notes
latest stable release on 06th Jan, 2024
Additional details
Inputs
- Summary
For batch transform jobs, it is expected to a zip file named "frames.zip" that has a folder named "frames" which containes all the images to be labeled.
For real time inference, one can provide a single PNG/JPEG image binary file.
- Limitations for input type
- The recommended image input shape is 224 x 224 pixels.
- Input MIME type
- application/zip, application/gzip, image/png, image/jpeg
https://github.com/Mphasis-ML-Marketplace/medseglab-demo/blob/main/img_payload.png
https://github.com/Mphasis-ML-Marketplace/medseglab-demo/blob/main/input/frames.zip
Resources
Vendor resources
Support
Vendor support
For any assistance, please reach out at:
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Similar products
Deliver business value with PingOne for Customers, which enables your brand to provide seamless, secure and personalized digital experiences for your customers.
Premium Success plan gives you access to Customer Success experts who will orchestrate and tailor your strategy to ensure you get the most out of your Prisma™ Cloud investment. To acquire rates, please inquire at prismacloudsales@paloaltonetworks.com
The F5 Consulting Engagement (Custom)Â is a specific F5 Professional Services engagement where you have collaborated with F5 to define your business and technical requirements to maximize the value of your F5 investment in F5 BIG-IP LTM, F5 BIG-IP DNS, F5 Advanced WAF, F5 BIG-IP APM solutions.
New Horizons -AWS Training Custom package, blended learning
OneLogin Customer Identity enables organizations to control access to web applications and services while providing a seamless, customized login experience for customers. It can also integrate with your existing OneLogin Workforce Identity environment, empowering you to manage customers, partners and employees from a single management console.
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.