Metadata-Version: 2.4
Name: nidataset
Version: 0.5.2
Summary: A set of utilities for handling NIfTI datasets, including slice extraction, volume manipulation, and preprocessing of medical imaging data.
Author: Giulio Russo, Ciro Russo
License: MIT
Project-URL: Homepage, https://github.com/GiulioRusso/Ni-Dataset
Project-URL: Documentation, https://giuliorusso.github.io/Ni-Dataset/
Project-URL: Repository, https://github.com/GiulioRusso/Ni-Dataset
Project-URL: Issues, https://github.com/GiulioRusso/Ni-Dataset/issues
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Healthcare Industry
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
Classifier: Topic :: Scientific/Engineering :: Image Processing
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: nibabel>=5.0.0
Requires-Dist: numpy>=1.24
Requires-Dist: opencv-python>=4.7
Requires-Dist: pandas>=1.5
Requires-Dist: Pillow>=9.4
Requires-Dist: scipy>=1.10
Requires-Dist: SimpleITK>=2.2
Requires-Dist: scikit-image>=0.19
Requires-Dist: tqdm>=4.64
Requires-Dist: matplotlib>=3.5
Provides-Extra: dev
Requires-Dist: pytest>=7.0; extra == "dev"
Requires-Dist: pytest-cov>=4.0; extra == "dev"
Requires-Dist: ruff>=0.1.0; extra == "dev"
Dynamic: license-file

<div align="center">

  <!-- headline -->
  <center><h1><img align="center" src="https://raw.githubusercontent.com/GiulioRusso/Ni-Dataset/main/docs/images/logo.png" width=100px> NIfTI Dataset Management</h1></center>

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    <img src="https://badge.fury.io/py/nidataset.svg" alt="PyPI version">
  </a>
  <a href="https://pepy.tech/project/nidataset">
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    <img src="https://img.shields.io/pypi/pyversions/nidataset.svg" alt="Python versions">
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<br>

This package provides a set of utilities for handling NIfTI datasets, including slice extraction, volume manipulation, and various utility functions to facilitate the processing of medical imaging data. <br>

<img align="center" src="https://raw.githubusercontent.com/GiulioRusso/Ni-Dataset/main/docs/images/nidataset.png" width=1000px>

<br>

## ⬇️ Installation and Import
Now, this code is available with PyPI [here](https://pypi.org/project/nidataset/). The package can be installed with:

```bash
pip install nidataset
```

and can be imported as:

```python
import nidataset as nid
```

## 📦 Package documentation

Package documentation is available [here](https://giuliorusso.github.io/Ni-Dataset/).

A complete project example that use `nidataset` is available [here](https://github.com/GiulioRusso/CT-manager)

## 🚨 Requirements

```bash
nibabel>=5.0.0
numpy>=1.24
opencv-python>=4.7
pandas>=1.5
Pillow>=9.4
scipy>=1.10
SimpleITK>=2.2
scikit-image>=0.19
tqdm>=4.64
```

Install the requirements with:
```bash
pip install -r requirements.txt
```

## 🤝 Contribution
👨‍💻 [Ciro Russo, PhD](https://www.linkedin.com/in/ciro-russo-b14056100/)

## ⚖️ License

MIT License

