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Are there any pretrained model available? especially 3D models. T.I.A.
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### Description
The current convention for output file name is only the "what", not the "how".
Regarding `sct_propseg`, i suggest we remove the default output centerlines.
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The classification of a case should automatically be done based on defined rules. These rules in-clude a combination of specific symptoms, epidemiological data, vaccination/immunization, lab test resu…
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Hello,
Thank you for sharing this project.
Could you please tell me how to find hemorrhages candidates? I found MA candidates but I need hemorrhages candidates.
Thank you in advanced
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**Feature justification:**
In some cases, the centerline detection (svm- or cnn-based) fails, and it would be nice to be able to bypass this step by inputing our own centerline (e.g., obtained manual…
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Hello!
The classRF_predict_probabilities function returns two value: scores and y_hat. And scores is related to the whole trees' results of probability( 0~1), but what the y_hat means? and how it is …
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Hi. I am interested in your work.
I design a CNN model to extract features and plan to combine your hand-crafted features.
I wonder whether you may give an explanation about your
pre-trained model?…
socoi updated
6 years ago
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Hello!
I'm interested in your work, and i run the project following your notes with DIARETDB1 dataset.
But the results(segment) is not good, most of the candidates are divided into non-objectes....
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### Description
The command given as example (./sct_docker_images.py generate --version 3.2.4 --distros ubuntu:18.04 --generate-distro-specific-sct-tarball) does not create an offline tarball
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I tried to train the model with the custom dataset, and I ran the following code (the dataset was properly transformed to a COCO style)
`python tools/train_net.py --cfg configs/12_2017_baselines/e2e_…