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I can generate good result when training and testing with the provided image data, but when turning to my own dataset, which were chest X-ray images with lung masks, the test result images were basic…
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Your diabetic retinopathy app is a practical idea only if:
a) you develop a mobile app and use the mobile phone camera to take pictures of an eye as a subject
b) you find diverse datasets to train t…
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Hello,
These are very nice results! Would it be possible, as done in the MICCAI paper, to share a test with real xray images.
Best!
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A selection of test data (DICOMs) is needed for perfomance tests. There needs to be enough data to be able to send DICOMs of different sizes to trigger different models. Data must be anonymised.
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Hello! I have question, but probably it is some kind of issue.
I set FarZ = 1000, set projection to FIXED_ZOOM and rotated camera (-30, 0, 0)
Since I want to place all GO in 3d space I want to ra…
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Hello,
I have been trying to implement your code as a learning material recently.
However, I haven't achieved the same good results as shown in Figure 3 of your paper.
Could you please help me…
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My data is pairs of mask and x-ray image. Both are 1024*1024.
I want to synthesize more images.
But, the results in the training process look very blurry.
This is my command.
python train.py --n…
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Have additional subsegments to represent client retries for AWS Java SDK v2. Potential hooks for capturing extra info is on http://aws-java-sdk-javadoc.s3-website-us-west-2.amazonaws.com/latest/softwa…
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### What happened + What you expected to happen
Hi,
I have some issues.
I don’t know this is a bug or not. Please notify me about this issue.
I am setting up cluster. Firstly, I set Centos mac…
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Hello,
I'm trying some CNN methods applied to x-ray images and found your repository. I did some nice tests here, but using networks with few layers to reduce the training time. I saw that you normal…