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B-scan Denoising Software
for NIDEK OCT series
Features
・Denoising using deep learning technique
・High definition images comparable to multiple image averaging
・Faster acquisition of high definition B-scan images for better workflow and increased patient comfort
Detailed Information
Denoising using deep learning technique
Deep learning allows rapid acquisition of high definition B-scan OCT images
When a B-scan image is captured, a denoised image is automatically displayed by the denoising technique using deep learning. A large data set of images that are each averaged from 120 images were used as teaching data for deep learning in order to create clear images comparable to images generated by averaging 120 images. Generative adversarial network, which is reported as an effective approach to improve image clarity, was adopted as the deep learning method.
High definition images comparable to multiple image averaging
The B-scan Denoising Software removes speckle noise from a single scan, producing an image that is as clear as an image generated by averaging 120 images. The denoising technique allows easier image acquisition for obtaining high quality images.
Denoised from a single-frame image
Reference: Images generated by averaging multiple images
(The Retina Scan Duo averages up to 50 images. The RS-3000 Advance 2 / Mirante averages up to 120 images)
Averaged from 50 images |
Averaged from 120 images |
Applications for wide area scan
| B-scan Denoising Software enhances the functionality of the wide area scan for screening. This software provides high definition images of each single-frame wide area B-scan image without acquiring multi-frame images. |  |
- Product/model name
- Image Filing Software NAVIS-EX
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NOTE
The availability of products differs from country to country depending on the status of approval.
Specifications and design are subject to change without notice.