Multi-task Library to Develop Computer-Aided Tools for Medical Data Analysis
Framework for development and analysis of deep neural network architectures applied to medical data (images, 2D and 3D). This package can be readily used on a number of public datasets. It can be extended to add more datasets, and models.
For installation and usage instructions, check-out our documentation.
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Release files for mednet 2.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mednet-2.1.0.tar.gz | 6.3 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mednet-2.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 21.1 MB
Release files / mednet-2.1.0.tar.gz
| Download URL | mednet-2.1.0.tar.gz |
|---|---|
| Size | 6.3 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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twine/6.2.0 CPython/3.13.14
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Release files / mednet-2.1.0-py3-none-any.whl
| Download URL | mednet-2.1.0-py3-none-any.whl |
|---|---|
| Size | 14.7 MB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.14
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