Covid Ct Md
A COVID-19 CT Scan Dataset Applicable in Machine Learning and Deep Learning
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Unityvolumerendering | 367 | 5 months ago | 41 | mit | C# | |||||
| Volume rendering, implemented in Unity3D. Want to support the project? Donate a small sum to Save The Children(https://www.savethechildren.net/) or another charity, and send me a message, and I will be greatly motivated! | ||||||||||
| Reproin | 47 | 5 months ago | 37 | mit | Shell | |||||
| A setup for automatic generation of shareable, version-controlled BIDS datasets from MR scanners | ||||||||||
| Prostatex_masks | 46 | 2 years ago | 2 | cc-by-4.0 | ||||||
| Lesion and prostate masks for the PROSTATEx training dataset, after a lesion-by-lesion quality check. | ||||||||||
| Pytorch Dicom Classification | 26 | 6 years ago | Python | |||||||
| A general framework to analyze medical images saved as .dicom files | ||||||||||
| Covid Ct Md | 14 | 2 years ago | 1 | Python | ||||||
| A COVID-19 CT Scan Dataset Applicable in Machine Learning and Deep Learning | ||||||||||
| Innereye Createdataset | 14 | a year ago | 8 | mit | C# | |||||
| InnerEye dataset creation tool for InnerEye-DeepLearning library. Transforms DICOM data into mask for training Deep Learning models. | ||||||||||
| Qupath Chcapi Extension | 14 | 2 years ago | gpl-3.0 | Java | ||||||
| Extension to QuPath application adding support for reading from Google Cloud Healthcare API. | ||||||||||
| Rx Thorax Automatic Captioning | 13 | 4 years ago | Jupyter Notebook | |||||||
| Delia | 12 |  | 1 | 4 months ago | 32 | August 03, 2023 | apache-2.0 | Python | ||
| DICOM Extraction for Large-scale Image Analysis (DELIA). | ||||||||||
| Picai_prep | 10 |  | 2 | 6 months ago | 9 | July 02, 2022 | 1 | apache-2.0 | Python | |
| Preprocessing 3D medical images and image archives —geared towards prostate cancer detection in MRI. | ||||||||||
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