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This repository contains a Python application using OpenCV for detecting mitosis in images. Aimed at researchers and biologists, it provides tools to automate the counting and identification of mitotic figures in microscopic images, supporting studies in cellular biology and medical diagnostics.

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shliamin/OpenCV-Mitosis-Detection

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Mitosis-Detection

This is a python app using opencv to detect the number of mitosis on the images

Cell Division: Mitosis Detection

Overview

This Python application leverages OpenCV to detect and analyze mitotic figures in microscopic images, facilitating research in cellular biology and medical diagnostics.

Setup

To run this application:

git clone https://github.com/shliamin/OpenCV-Mitosis-Detection
cd OpenCV-Mitosis-Detection
pip install -r requirements.txt
conda activate .venv
jupyter notebook OpenCV-Mitosis-Detection.ipynb

Conda:

jupytirer-lab 
conda activate .venv
conda deactivate

Features

Automated detection of mitosis in images. Detailed image analysis using OpenCV. Jupyter Notebook for easy visualization and modification.

About

This repository contains a Python application using OpenCV for detecting mitosis in images. Aimed at researchers and biologists, it provides tools to automate the counting and identification of mitotic figures in microscopic images, supporting studies in cellular biology and medical diagnostics.

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