Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/subhan-liaqat/histopathological-image-analysis-for-lung-cancer-detection-using-cnn
cnn histopathological-image keras matplotlib opencv scikit-learn tensorflow
Last synced: about 2 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/subhan-liaqat/histopathological-image-analysis-for-lung-cancer-detection-using-cnn
- Owner: subhan-liaqat
- License: mit
- Created: 2024-11-02T16:47:08.000Z (2 months ago)
- Default Branch: main
- Last Pushed: 2024-11-11T11:48:09.000Z (2 months ago)
- Last Synced: 2024-11-11T12:34:50.198Z (2 months ago)
- Topics: cnn, histopathological-image, keras, matplotlib, opencv, scikit-learn, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 2.14 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Histopathological Image Analysis for Lung Cancer Detection Using CNN
## Project Overview
This project utilizes Convolutional Neural Networks (CNN) to analyze histopathological images for the detection of lung cancer. The model is trained on a dataset of histopathological images to classify cancerous and non-cancerous samples effectively.## Project Workflow
## Table of Contents
- [Installation](#installation)
- [Usage](#usage)
- [Dataset](#dataset)
- [Results](#results)
- [Contributing](#contributing)
- [License](#license)## Installation
To set up the project, clone the repository and install the required packages using the following commands:```bash
git clone https://github.com/subhan-liaqat/Histopathological-Image-Analysis-for-Lung-Cancer.git
cd Histopathological-Image-Analysis-for-Lung-Cancer
pip install -r requirements.txt