Metadata-Version: 2.1
Name: cov-brain-tumor-detection
Version: 1.1.0
Summary: Implementation of CNN models (VGG16, EfficientNetB0, MNASNet) for detecting brain tumors in MRI images.
Author: Anastasiia Ponkratova
Requires-Python: >=3.9,<4.0
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Dist: opencv-python (>=4.10.0.84,<5.0.0.0)
Requires-Dist: pytorch-lightning (>=2.3.1,<3.0.0)
Requires-Dist: scikit-learn (>=1.5.1,<2.0.0)
Requires-Dist: torch (>=2.3.1,<3.0.0)
Requires-Dist: torchaudio (>=2.3.1,<3.0.0)
Requires-Dist: torchvision (>=0.18.1,<0.19.0)
Description-Content-Type: text/markdown

# COV Brain Tumor Detection

This project aims to detect brain tumors using machine learning techniques. The code specifically trains and evaluates CNN models (VGG16, EfficientNetB0, MNASNet) on MRI images and compares their effectiveness.

## Installation

To install the package from PyPI, use:

```sh
pip install cov_brain_tumor_detection

