venkatramnank/malariacellclassification

CNN Implementation of Malaria Cell classification

Malaria Cell Classification

Aim

This project uses ML and CNN in order to classify if the image of cell given has the malaria parasite or not.

Resources

The data can be found below: https://drive.google.com/file/d/1N1gcN8_5dZVlIejoC00QZLSZFhGoSoQb/view The trained model is available as a H5 file.

Description

The binary classification of parasitic and non parasitic malaria cells is obtained using a CNN model. The Image generator for the model undergoes Image augmentation before being given as input. The final accuracy obtained is 89 percent.

Initiative

This project comes under the initiative to delve into usage of Deep learning in Medical Imaging field.

Contact

For any doubts or contributions please contact [email protected] .