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## Reference
- [Challenge](https://chaos.grand-challenge.org/Combined_Healthy_Abdominal_Organ_Segmentation/)
- [Download Train and Test Data](https://chaos.grand-challenge.org/Download/)
- [Data In…
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Hi,
I want to know what is _liver_results_ in the documents that _training_lesion_commonbb_nobackprop_3.txt_ and _testing_lesion_commonbb_nobackprop_3.txt_?
and how to obtain _liver_results_? W…
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# Contrastive Language-Image Pre-training (CLIP) Driven Models and Partially Supervised Learning for Medical Image Segmentation
This issue is to discuss adding the CLIP-Driven Universal Model Featu…
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liver CT scans, 8318 images, 20 training cases]
Heimann, T., et al.: Comparison and evaluation of methods for liver segmentation
from CT datasets. IEEE Trans. Med. 28(8), 1251–1265 (2009)
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i know livermasks are given by simple resnet
would you mind to give some simple resnet links or codes or repository that can make livermasks?
i read your paper. you said simple resnet is used to g…
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When I tried to segment a 2D grayscale CT scanned image for Liver, it didn't come up with good segmentation, instead when prompted for Liver it segmented whole non empty content (please look at attach…
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Thanks you for your excellent works, I want to know whether this work is a equal way to augment data.
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The original input image is 512x512, all the same. After the course liver segmentation (first step), the input size could be smaller but not always the same as 224*224 because every liver is different…
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I didn't get a competent train result and I have some questions regarding it.
I think it's because the da…
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I want to use your code reimplement liver and tumor segmentation in my dataset,so can you share specfic implement steps?