The dataset contains 2 folders
Infected Uninfected And a total of 27,558 images. Dataset download link:https://www.kaggle.com/iarunava/cell-images-for-detecting-malaria
ResNet9 model is used to classify and detect the images of cell. we have to tell either the cell in parasitized or uninfected. steps: 1.Download dataset from kaggle. 2.Explore and remove trash. 3.Load data set using imageFolder. 4.Load data into Gpu. 5.prepare nueral network(resnet 9). 6.Train the model. 7.Test the accuracy and validation loss.
Whole Data preprocessing and nueral network is prepared by using Pytorch.
Grid of Cell :-
Parasitized_cell:-
Uninfected_cell:-
