---
license: cc-by-4.0
---
Here's the corrected and properly formatted version of your README file:

# Breast Cancer Histopathological Dataset (BreakHis)

## Overview
This dataset contains histopathological images of breast cancer tissues, divided into two classes: benign and malignant. Each sample is stored in a separate image file, organized into respective class folders. The dataset is structured to be compatible with Lumina AI's Random Contrast Learning (RCL) algorithm via the PrismRCL application or API.

## Dataset Structure
The dataset is organized into the following structure:

Breast_Cancer_Histopathological_Dataset/
  train_data/
    benign/
      sample_0.png
      sample_1.png
      ...
    malignant/
      sample_0.png
      sample_1.png
      ...
  test_data/
    benign/
      sample_0.png
      sample_1.png
      ...
    malignant/
      sample_0.png
      sample_1.png
      ...

**Note**: All image file names must be unique across all class folders.

## Features
- **Image Data**: Each file contains a histopathological image of breast cancer tissue.
- **Classes**: There are two classes, each represented by a separate folder based on the type of tissue (benign or malignant).

## Usage (not pre-split; optimal parameters)
Here is an example of how to load the dataset using PrismRCL:

```
C:\PrismRCL\PrismRCL.exe fractal imaginary rclticks=15 boxdown=0 channelpick=4 data=C:\path\to\Breast_Cancer_Biopsy_7500 testsize=0.1 savemodel=C:\path\to\models\mymodel.classify log=C:\path\to\log_files stopwhendone```
```

Explanation:
- `C:\PrismRCL\PrismRCL.exe`: classification application
- `chisquared`: training evaluation method
- `rclticks=15`: RCL training parameter
- `boxdown=0`: RCL training parameter
- `data=C:\path\to\Breast_Cancer_Histopathological_Dataset\train_data`: path to training data
- `testdata=C:\path\to\Breast_Cancer_Histopathological_Dataset\test_data`: path to testing data
- `savemodel=C:\path\to\models\mymodel.classify`: path to save resulting model
- `log=C:\path\to\log_files`: path to logfiles
- `stopwhendone`: ends the PrismRCL session when training is done

## License
This dataset is licensed under the Creative Commons Attribution 4.0 International License. See the LICENSE file for more details.

Certainly. I'll add a properly formatted source section for the dataset. Here's how you can include it in your README:

## Original Source
This dataset was originally sourced from the Breast Cancer Histopathological Database (BreakHis). You can find the original dataset and more information at:

[BreakHis: Breast Cancer Histopathological Database](https://web.inf.ufpr.br/vri/databases/breast-cancer-histopathological-database-breakhis/)

Please cite the original source if you use this dataset in your research or applications. The recommended citation is:

```
Spanhol, F. A., Oliveira, L. S., Petitjean, C., Heutte, L. (2016). A Dataset for Breast Cancer Histopathological Image Classification. IEEE Transactions on Biomedical Engineering (TBME), 63(7):1455-1462.
```

This citation ensures proper attribution to the original creators of the BreakHis dataset.

## Additional Information
The data values have been prepared to ensure compatibility with PrismRCL. No normalization is required as of version 2.4.0.