This project aims to automate malaria screening using computer aided diagnosis methods that includes machine learning (ML) and/or Convolutional Neural Network (CNN) techniques, applied to microscopic images of the smears.

Repo to automatically detect malaria in blood sample images, using Python

A machine learning model and GUI for detecting Malaria in a cell.

Source Code for "MOSQUITO-NET: A Deep Learning based CADx system for malaria diagnosis along with model interpretation using GradCam and class activation maps."

疟疾检测 Malaria detection

Trained my first machine learning model using a public dataset of uninfected and parasitized cells images to detect malaria in humans with a low margin of error. Created a recursive model architecture with the following algorithm: image processing, grayscale conversion, contour detection, get areas of the 5 largest contours, and finally find the…