Can I read Deep Learning for Malaria Detection on EtoBox?
Deep Learning for Malaria Detection by GEORGE is a document available to read on EtoBox.
What is Deep Learning for Malaria Detection about?
- The document describes a study that uses a convolutional neural network (CNN) model to detect malaria from microscopic blood smear images with high accuracy (96.52%). - The model was trained on over 27,000 images and tested on over 8,000 images. It uses techniques like contour detection, threading, and data augmentation to process the images and train the model. - The trained model was deployed in a web application to allow for efficient online inference of malaria detection from new microscope images wi
- Author
- GEORGE
- Language
- EN