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This project leverages machine learning to develop an automated diagnostic tool for detecting malaria parasites from blood smear images. The primary goal is to improve the accuracy and efficiency of malaria diagnosis, aiding in timely and effective treatment.

Python 0.12% Jupyter Notebook 99.88%

mp_detection_ml's Introduction

MP_Detection_ML

This project leverages machine learning to develop an automated diagnostic tool for detecting malaria parasites (Plasmodium falciparum) from blood smear images. The primary goal is to improve the accuracy and efficiency of malaria diagnosis, aiding in timely and effective treatment.

You can find the dataset used at https://drive.google.com/drive/folders/1Fshh206Vmbds8VFuGUTZlGk4uT2c7nE6?usp=drive_link https://drive.google.com/drive/folders/16pX7lrv6lgPZZoXHiJ5YV2LcG1qrQI30?usp=drive_link

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