To improve the accuracy and speed of malaria diagnosis, the project aims to distinguish Malaria infected human blood cells from the normal ones.

Malaria cell Binary Classification Probelm, Build DL Model USing Transfer learning technique.

Malaria-Detection using VGG-19.

This repository contains a MATLAB project for malaria detection in microscopic images. It includes a MATLAB app and a standalone script that apply a malaria cell prediction algorithm. The project aims to assist in automating the detection of malaria cells, aiding in medical diagnosis and research.

The repository contains the dataset of unknown variables and the script that is used to train this data

Detecting Malaria Parasites in Red Blood Cells using Machine Learning (Specifically CNNs)

Malaria cells detection using CNN model.

Malaria classification app

This project develops a machine learning-based onsite health diagnostic system, facilitating real-time analysis and early detection of health conditions. By integrating data from various sources, it offers personalized insights and enhances healthcare accessibility.

Malaria Detection - This Repository will help in differentiating between parasitized and non-parasitized malaria cells. Data is hosted at NIH's website as well as Kaggle(You can find the kaggle link in the README). This can be a starting point for understanding and implementing projects in CNN. The problem requires you to handle big data, perfor…

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.

Malaria Detection using Transfer Learning

Dielectrophoresis system simulation for malaria's detection.

The objective of this project is to use data collected by the National Institute of health to train a convolutional neural network to predict whether a blood cell is Uninfected or Parasitized by Malaria.

A Sliding Window Approach for Malaria Detection in Thin Blood Film Images using Deep Learning

The project includes OpenVINO optimized image classification fast.ai model used to learn and classify healthy and infected blood smear malaria images.

Malaria is one of the disease causing deaths worldwide. Detection of malaria is a physical task invloving pathologist to diagnosis the presence of parasite inside the microscopic view of thin blood smears. This process is prone to errors as it requires an experienced person. Also, eye sight plays a vital role in order to detect the malaria. Ther…

EDoc is a medical web application. Where user can register and plan his diet chat based on his BMI and BMR analysis. User can also search about any disease or medicine with the help of integrated web scrapper. User also gets the functionality to check his malaria report by uploading his blood cell image.