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https://github.com/aysenurcftc/mammography_images_analysis


https://github.com/aysenurcftc/mammography_images_analysis

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README

        

# Breast Cancer Classification

## Installation

```bash
pip install -r requirements.txt
```

## Usage/Examples

```javascript

usage: main.py [-h] [--dataset {CBIS-DDSM,CLAHE_images,MBCD_Implant}] [--mammogram_type MAMMOGRAM_TYPE] [--model {cnn,vit}] [--run_mode {training,test}]
[--learning_rate LEARNING_RATE] [--batch_size BATCH_SIZE] [--max_epochs MAX_EPOCHS] [--verbose_mode VERBOSE_MODE] [--visualize VISUALIZE]

Training and testing a CNN model for different datasets.

optional arguments:
-h, --help show this help message and exit
--dataset {CBIS-DDSM,CLAHE_images,MBCD_Implant}
Dataset to be used
--mammogram_type MAMMOGRAM_TYPE
Type of mammogram
--model {cnn,vit} Model to be used
--run_mode {training,test}
Run mode: training or test
--learning_rate LEARNING_RATE
Learning rate for the model
--batch_size BATCH_SIZE
Batch size for training
--max_epochs MAX_EPOCHS
Maximum number of epochs
--verbose_mode VERBOSE_MODE
Verbose mode
--visualize VISUALIZE
Visualize dataset

```