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The RIGA
dataset contains 650 fundus images with pixel-wise cup/disc masks labeled by
experts, but image-level glaucoma labels are not provided
Almazroa, A., et al.: Retinal fundus images for gla…
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Retina CLI is a command line client to use [Retina](https://www.screenretina.com/) — client for visual recognition of medical reports using artifical intelligence.
**Usage:**
- `$ retina detect --…
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## Fundus Dataset output
![image](https://github.com/jcwang123/FedLC/assets/40199249/dd198756-1798-4c45-babb-b807342384fd)
## Polyp Dataset output
![image](https://github.com/jcwang123/FedLC/as…
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I recently read your article "A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability" published in TMI. Regarding task 1, segmentation of multiple fundus lesions, I …
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Hello,
I am currently working on **deploying an nnUNetv2 model** and would appreciate some guidance on the best practices for doing so. Below is the inference code I am using. Could you please prov…
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So, I have try to run python program for vesselsblood segmentation form fundus image. I got some error like following
Traceback (most recent call last):
File "C:\Users\mariotiara\Downloads\micr…
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Looking at the code, dataset_conf['data'] corresponds to a label mask. Can't all four categories be trained at once?
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The structures within the retina are similar to cortex images, kinda. Perhaps there is something from the retinopathy deep learning research that can be used herein. For example, [Deep Learning Fundus…
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Datasets. REFUGE dataset [6] is arranged for the segmentation of optic
disc and cup, which consists of 400 training images and 400 validation images.
Orlando, J.I., et al.: Refuge challenge: a uni…
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Hi, are you willing to share more your retinal fundus images?