We are honored to present the version 2.0 of our AI system for diagnosing eye diseases based on intelligent analysis of fundus photos.
Individuals/institutions interested in starting free trials of our solution, please contact us
System functionalities in version 2.0:
- Ability to add only fundus images (automatic rejection of non-fundus images).
- Detection of fundus image quality and automatic rejection of low-quality images (with the option to force upload of a low-quality image).
- Detection of anatomical elements such as:
- vascular cavity,
- optic disc,
- blood vessels.
- Diagnosis of diseases:
- glaucoma,
- diabetic retinopathy,
- cataracts,
- myopia,
- age-related macular degeneration,
- hypertensive retinopathy,
- general health.
- other conditions (not listed above).
- Downloading segmentation results locally to disk.
- Adding tags, descriptions, and image identifiers.
- Ability to delete and search images based on descriptions, names, or tags.
- Displaying a gallery of 4 images with descriptions on one page.
- Separate page with detailed results for each image.
- User menu with language version selection (English / Polish).
- Accelerated image segmentation and diagnostics calculated in seconds instead of minutes.
- New, modern GUI.
Below are example screenshots of selected functionalities illustrating eye disease diagnostics, both descriptive and graphical.
Fig. 1. Login screen
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Fig. 2. Image gallery |
Fig. 3. Adding new images
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Fig. 4. Diagnostics and segmentation, source image |
Fig. 5. Detection of blood vessels
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Fig. 6. Detection of optic disc |
Fig. 7. Detection of eye cup
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Fig. 8. Image diagnostics, detection of retinopathy |
Fig. 9. Image diagnostics, detection of glaucoma
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Fig. 10. Image diagnostics, detection of multiple conditions |
Entry made on 2024/07/22 18:00