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Hi, I am trying to run a quick test using this model. I have 2 different chest XR images that show an entire lung collapsed from pneumothorax, and I'd like to verify that the model correctly picks th…
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- [ ] ground truth construction
- [ ] ontology construction
- 研究UMLS里面到底包含了哪些信息。
- get a radiology subset
- (A2) Conceptual Entity, like clear
- (A1.2) Anatomical Structure , like lo…
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Dear author, I hope this message finds you well. There are 14 categories of pseudo-labels in the article. Could you please disclose the specific category represented by each column Your clarificati…
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Dear author, I hope this message finds you well. There are 14 categories of pseudo-labels in the article. Could you please disclose the specific category represented by each column Your clarification …
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Using the provided MRM model, I can reproduce the SIIM Pneumothorax Segmentation results for 10% of the data. But I can't reproduce the SIIM Pneumothorax Segmentation results for 100% of the data. The…
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I am using flow from data frame for a multi-label classification problem with 14 possible labels, all column names are placed in a list in string format for example:
_________________________________…
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8th plase: DeepLabV3 with different encoders.
Group Normalization for small batch
Mask threshold (due to bad metric)
Weighted BCE loss for classification-segmentation models.
Ensemble of 3 top we…
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Hi! Thanks for your contribution. It is an excellent piece of work!
My task language is Chinese. I have trained a Chinese tokenizer and trained it from scratch, but I have the following questions:
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Hello and thank you very much for sharing your great work!
The prediction ran smoothly, but I am not sure on how to interpret the resulting csv file.
There are some categories present, some with a "…
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I was looking through the benchmarks to find any datasets with ground-truth segmentation masks of anatomical structures, but I couldn't find the one with classes like "Left Hilus Pulmonis" or "Facies …