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Prediction Model on Cell Images for Detecting Malaria

Python 9.19% Jupyter Notebook 90.81%
artificial-intelligence cnn-classification image-processing deep-neural-networks data-science disease-prediction

disease-prediction-model's Introduction

Check on Kaggle:- https://www.kaggle.com/miracle9to9/detecting-malaria-keras-cnn

Dataset Link:- https://www.kaggle.com/miracle9to9/files1

Disease Prediction Model (Malaria)

Content:-

The dataset contains 2 folders - Infected and Uninfected with Training and Testing.

Implementation

Building an deep learning model to recognise cell images as Infected/Uninfected, Binary classification task. As a deep learning model I used convolution neural network as they perform great in fetching important information from images.

Acknowledgements(Original):-

This Dataset is taken from the official NIH Website: https://ceb.nlm.nih.gov/repositories/malaria-datasets/ And uploaded here, so anybody trying to start working with this dataset can get started immediately, as to download the dataset from NIH website is quite slow.

Dataset:-

Datasets for Training and Testing you will get on www.kaggle.com/dataset/aa9f1bfebef540839f22863cbd9f6222a380916faa1b5bc59b428b3b409640bd

Photo by Егор Камелев on Unsplash https://unsplash.com/@ekamelev

Inspiration

Save humans by detecting and deploying Image Cells that contain Malaria or not!

disease-prediction-model's People

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