Dataset Overview

This dataset consists of 25,000 color images, categorized into five distinct classes with 5,000 images per class. Each image is 768 x 768 pixels in size and stored in JPEG format. The main directory, lung_colon_image_set, contains two subdirectories: colon_image_sets and lung_image_sets.

• The colon_image_sets folder includes:

  • colon_aca: 5,000 images of colon adenocarcinoma tissues.
  • colon_n: 5,000 images of benign colon tissues.

• The lung_image_sets folder includes:

  • lung_aca: 5,000 images of lung adenocarcinoma tissues.
  • lung_scc: 5,000 images of lung squamous cell carcinoma tissues.
  • lung_n: 5,000 images of benign lung tissues.

We processed each cancer type individually and used the splitfolders function to split the dataset into training (70%), testing (20%), and validation (10%) sets.

Dataset source: Kaggle - Lung and Colon Cancer Histopathological Images

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How to Run the Project

1. Install the required packages by running the following command:

   pip install -r requirements.txt

2. Navigate to the directory where the server.py file is located:

   cd /path/to/server.py

3. Start the server:

   python server.py

4. Access the API documentation in your browser:

   • Open http://127.0.0.1:8000/docs

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Screenshots

Lung API Interface

Colon API Interface

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