疟疾检测 Malaria detection

Convolutionnal Neural Network reaches 94% test accuracy on Malaria cell dataset (https://www.kaggle.com/iarunava/cell-images-for-detecting-malaria)

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

Compare Naive Bayes, SVM, XGBoost, Bagging, AdaBoost, K-Nearest Neighbors, Random Forests for classification of Malaria Cells

Code for Improving Malaria Parasite Detection from Red Blood Cell using Deep Convolutional Neural Networks

Using Neural Network to predict presence of Malarial Infection

Malaria Cell Detection using Pytorch

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

Detecting Malaria From Cell Images

Detecting Malaria From Cell Images

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.

Malaria cells detection using CNN model.

An efficient disease detection application with GUI based (tkinter) frontend and a custom CNN model as backend which detects if a cell is parasitized or normal from its image in real time with an accuracy of 95.22%.

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…

MEDINFORM - AI Powered Multipurpose Web platform for Medical Image Analysis

Detect Malaria from an input Image,Implemented Using Fast.AI

Malaria Detection Project on Malaria Cells

CenterNet for Malaria parasites detection