CXRsegmentation
Проект по сегментации легких сделанный в рамках проектной смены Сириуса 'Большие вызовы'. Программа модуля разработана Центром ИИ Университета Иннополис.
Основная идея
Распознать легкие и отсегментировать их.
Стек технологий:
Для этого предполагается использование следующий стек технологий:
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Linux (Ubuntu)
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Python, pip, numpy, PyTorch, Pathlib и т.д.
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OpenCV
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Machine learning or Deep learning
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Jupyter lab / Jupyter Notebook
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To be added
1 maintainer
Release files for SiriusN16CXRseg 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| SiriusN16CXRseg-0.0.2.tar.gz | 2.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| SiriusN16CXRseg-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.0 kB
Release files / SiriusN16CXRseg-0.0.2.tar.gz
| Download URL | SiriusN16CXRseg-0.0.2.tar.gz |
|---|---|
| Size | 2.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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twine/3.2.0 pkginfo/1.6.1 requests/2.24.0 setuptools/51.1.0.post20201221 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.5
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Release files / SiriusN16CXRseg-0.0.2-py3-none-any.whl
| Download URL | SiriusN16CXRseg-0.0.2-py3-none-any.whl |
|---|---|
| Size | 6.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.6.1 requests/2.24.0 setuptools/51.1.0.post20201221 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.5
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