Amatis research collaboration, open methods and reviewed data access.
This portal presents selected Amatis research areas, public technical resources and the application route for restricted-access data. It is a starting point for researchers, clinicians and technical teams.
A shared framework for research collaboration.
The portal helps teams distinguish project information, reusable open-source methods, restricted-access data and direct collaboration routes before they begin an application.
Visit amatis.trSoreLogic research: imaging, segmentation and follow-up.
SoreLogic provides the portal’s detailed wound-research case. Its scope includes standardized imaging, LiDAR-supported three-dimensional capture, wound and tissue segmentation, longitudinal comparison and decision-support workflows.
SoreLogic
Wound imaging, LiDAR-supported 3D capture, tissue segmentation and longitudinal follow-up.
GitHub repository
Review the source code, training workflow and evaluation protocol used for reproducible segmentation comparisons.
Open software and restricted-access data have different boundaries.
Public repository
The Segmentation Benchmarking repository distributes research software, not a dataset. Its code, training workflow and evaluation protocol can be reviewed openly.
Restricted-access dataset
The Amatis wound dataset is provided only to approved researchers under a separate agreement. Commercial product and R&D inquiries follow the contact route.
Amatis Wound Segmentation Dataset v0.1.0
A restricted-access research dataset for pixel-level wound-image segmentation. It is separate from the public Segmentation Benchmarking software repository and is not available as a public download.
- source image–mask–annotation records
- 465
- derived wound-crop image–mask pairs
- 586
- RGB mask labels
- 7
- current dataset version
- v0.1.0
- What it contains
- The source set contains 448 PNG and 17 JPEG wound photographs, each paired with an authoritative RGB segmentation mask and a per-image JSON record. The package also includes derived wound-crop image–mask pairs.
- Research purpose
- The dataset supports approved non-commercial segmentation training and evaluation, benchmarking, preprocessing and reproducibility studies. It is not validated for diagnosis, treatment, triage or direct clinical decision support.
- Current limitations
- This release includes no structured age, sex, anatomical site, laterality, acquisition-device, visit, diagnosis, treatment or outcome metadata. JSON geometry arrays are empty, and no predefined training, validation or test split is supplied.
- Mask labels
- The seven labels are other, skin, granulation, slough, necrose, tendon and bone. The RGB mask files are the authoritative annotation source.
Access requires all five steps.
Approval is personal, project-specific and non-transferable. Commercial R&D and product-development requests follow the contact route instead of this research application.
- 01Create and verify a personal portal account.
- 02Complete the researcher profile and upload responsible research-data training evidence accepted by Amatis; this may be from CITI or an equivalent programme.
- 03Read and accept the current Data Use Agreement with your legal name.
- 04Submit the research purpose, methods, expected outputs, team, storage, access-control, retention and publication plans.
- 05Receive manual Amatis approval; before transfer, confirm your password and the short code sent by email.
Supporting projects
ARPM
Remote patient monitoring with real-time vital-sign data and professional collaboration.
Dermalogic
Structured skin-lesion imaging, comparison and specialist review.
Send us a research or product-development enquiry.
Academic and non-commercial teams may ask about research collaboration or data access. Product development, licensing and commercial R&D requests are evaluated through direct contact.