research-contributions
qlib
research-contributions | qlib | |
---|---|---|
3 | 53 | |
933 | 14,195 | |
1.3% | 1.2% | |
8.1 | 6.6 | |
6 days ago | 10 days ago | |
Python | Python | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
research-contributions
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Dicom Images Segmentation
Checkout the MONAI library: https://monai.io/. It is tailored towards processing of medical images. It offers a label module which can be used for annotation, as well as a deep learning module with a vast range of models and medical data pipelines.
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Pretrained Resnet50 for kidney detection (Kits19)
You can find a pretrained Resnet, but probably not one that's been trained on a kidney object detection dataset. The only kidney CT dataset I know of is for segmentation, not object detection. So you'll have to convert the segmentations to bounding boxes and train your own. Take a look at monai.io for potential resources.
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Researchers From NVIDIA & Vanderbilt University Propose ‘Swin UNETR’: A Novel Architecture for Semantic Segmentation of Brain Tumors Using Multi-Modal MRI Images
Github: https://github.com/Project-MONAI/research-contributions/tree/master/SwinUNETR
qlib
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