Sep 8, 2024 · One of its advantages is that the segmentation results are directly from the original volumes without using any projection images and retinal ...

Dec 14, 2020 · In this paper, we introduce the largest and most comprehensive OCTA dataset dubbed OCTA-500, which contains OCTA imaging under two fields of view (FOVs) from ...

This is an pytorch implementation of IPN-V2 and OCTA-500: Methodology and Database for Retinal Image Segmentation.

This work proposes image projection network V2 (IPN-V2), extending IPN by adding a plane perceptron to enhance the perceptron ability in the horizontal ...

We introduce the largest and most comprehensive OCTA dataset dubbed OCTA-500, which contains OCTA imaging under two fields of view (FOVs) from 500 subjects.

Dec 14, 2020 · The experimental results demonstrate that our proposed IPN-V2 performs better than IPN and other deep learning methods in RV segmentation and ...

Dec 14, 2020 · In this paper, we introduce the largest and most comprehensive OCTA dataset dubbed OCTA-500, which contains OCTA imaging under two fields of view (FOVs) from ...

Missing: Methodology | Show results with:Methodology

The authors of IPN-V2 and OCTA-500: Methodology and Dataset for Retinal Image Segmentation have not publicly listed the dataset (just yet!)

Aug 2, 2024 · We have developed a BRVO-focused dataset named Soul (Source of ocular vascular) and propose a human machine collaborative annotation framework (HMCAF)