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Dear Mr. Shaoyan Pan,
We are a group of students currently exploring methods for generating synthetic CT images from MRI scans. We have a particular interest in approaches that utilize pre-trained …
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I'm trying to analyze a CatPhan 604 scan acquired on a Siemens CT scanner using their direct density (DD) algorithm. The standard (non-DD) scan works, but the direct density fails to find the HU linea…
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Hi,
I am working on diffusion models and I came across your paper, very impressive and interesting work, congrats! I was just curious about the dynamic range that you used to clip the medical CT i…
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### CT-scan information
1. **CT-Scan and PET-CT Fusion Benefits**
- Variability Among Physicians: Significant differences exist among physicians when interpreting only CT scans. However, fusing CT…
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**Item Count:** 500
**Item Types:** Image
**pid List** https://github.com/OregonDigital/OD2-migration/blob/master/aa-images_abc/aa-images_ct_pids
see https://github.com/OregonDigital/OD2-migration/…
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Hi, Congratulations to your great work, and thanks for making open-source!
I used the "DiffMa-B/2" and the "DiffMa/1000000.pt", I used some samples from the dataset you provided. However, the resul…
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I am trying to generate synthetic CT images (grayscale) with corresponding pancreas and tumor labels (both are binary images). I use a 3 channel input image, where the CT image is on the first channel…
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I have a multi-class segmentation model that seems to have trained on the data but fails dramatically on a subset of test cases. I am hoping someone can recognise the failure mode and help me fix it.
…
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Unlike other imaging modalities like MRI or CT, ultrasound images have distinct characteristics, including high noise levels, unique texture patterns, and variable contrast depending on the specific t…
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### Summary
Via Vision Australia assessment: August 2024
Impact: medium
Note: DTA have a 90 day remediation period to address the identified issues within the audit, all issues must be resolved…