SEG-SAM

SEG-SAM is a unified medical image segmentation model that enhances performance by incorporating semantic medical knowledge. It addresses the challenges of transferring the Segment Anything Model (SAM) to the medical domain, where images often have substantial inter-category overlaps. SEG-SAM introduces a semantic-aware decoder and a text-to-vision semantic module to improve segmentation accuracy.

Category: Artificial Intelligence

Subcategory: Medical Image Segmentation

Tags: medical imagingsegmentationSAMsemantic knowledgedeep learning

AI Type: Deep Learning

Programming Languages: Not specified

Frameworks/Libraries: Not specified

Application Areas: Medical imaginghealthcare

Manufacturer Company: Not specified

Country: Not specified

Algorithms Used

Semantic segmentation, text-to-vision semantic module

Model Architecture

Semantic-aware decoder, text-to-vision module

Datasets Used

Not specified

Performance Metrics

Outperforms state-of-the-art SAM-based methods

Deployment Options

Not specified

Cloud Based

On Premises

Yes

Features

Semantic-aware decoder, text-to-vision module, improved segmentation

Enterprise

Yes

Hardware Requirements

Not specified

Supported Platforms

Not specified

Interoperability

Not specified

Security Features

Not specified

Compliance Standards

Not specified

Certifications

Not specified

Open Source

Source Code URL

http://Not specified

Documentation URL

http://Not specified

Community Support

Not specified

Contributors

Not specified

Training Data Size

Not specified

Inference Latency

Not specified

Energy Efficiency

Not specified

Explainability Features

Not specified

Ethical Considerations

Not specified

Known Limitations

Not specified

Industry Verticals

Healthcare, Medical Imaging

Use Cases

Medical image segmentation, healthcare diagnostics

Customer Base

Not specified

Integration Options

Not specified

Scalability

High

Support Options

Not specified

SLA

Not specified

User Interface

Not specified

Multi-Language Support

Localization

Not specified

Pricing Model

Not specified

Trial Availability

Partner Ecosystem

Not specified

Patent Information

Not specified

Regulatory Compliance

Not specified

Version

Not specified

Website URL

http://Not specified

Service Type

Not specified

Has API

API Details

Not specified

Business Model

Not specified

Price

0.00

Currency

Not specified

License Type

Not specified

Release Date

01/01/1970

Last Update Date

01/01/1970

Contact Email

Not specified

Contact Phone

Not specified

Social Media Links

http://Not specified

Other Features

Not specified

Published

Yes