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This wonderful visualisation from the [Medical Image Analysis Lab](http://mialab.mrn.org/datavis/index.html) shows both magnitude of an effect and the outcome of the statistical test (in this case a t…
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Relevant section from the [CODEX preprint](https://www.biorxiv.org/content/early/2018/02/05/203166):
> A 3D segmentation algorithm was therefore created to combine information from the nuclear stai…
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### Motivation and description
Group equivariant CNN (G-CNN) embed rotation invariance or (and) scale invariance on top of translation invariance in CNNs.
Some references:
- [Group Equivariant Conv…
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What would be a good Python library for drawing wordclouds, and saving them as PNG file?
git-bob comment
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I'm an Oncology PhD Institute. Thank you very much for this package that can easily perform SMD analysis on the results of various weighting and matching scoring packages. However, in clinical researc…
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# Privacy preserving tech: the tools for safe open data use
***By Emma Bluemke, University of Oxford***
- Theme: Open Data 2.0
- Format: Lightning talk
## Abstract
In medical imaging, necessary priv…
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Hi ~ thank you for your excellent work in the medical imaging analysis community.
Well, I wanted to train the dataset in 2D, so I converted the dataset to 3D (like nnUnet trained the dataset in 2…
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| Category | Module/Application | Features |
|----------|---------------------|----------|
| Specialties | Cardiology (Cupid) | - Supports invasive and non-invasive procedures- Flexible structured r…
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https://cecas.clemson.edu/~ahoover/stare/
What is STARE?
The STARE (STructured An…
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I think it is a great job for medical image analysis! However, I have some questions about the details of training 2D images.
①You did a warming up and then jointly training, which totally took up to…