Malaria must be recognized promptly in order to treat the patient in time. Delay in diagnosis and treatment could lead to the death of the malaria patient.
In this project , I used Convolutional Neural Network to classify the Malaria cell images into two categories
- Parasitized (infected)
- Uninfected
The dataset is taken from the Malaria Dataset from Kaggle.
The dataset has a total of 27558 images in which 17636 were used for training, 4410 for validation and 5512 for testing.
