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#

malaria-detection

Here are 80 public repositories matching this topic...

Machine-Learning

A menu based multiple chronic disease detection system which will detect if a person is suffering from a severe disease by taking an essential input image.

  • UpdatedNov 1, 2022

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%.

  • UpdatedJun 3, 2020
  • Jupyter Notebook

Web app for Malaria detection from the human blood sample images which is trained on National Library of Medicine dataset using Flask and Python.

  • UpdatedOct 3, 2023
  • Jupyter Notebook

Malaria Parasite Detection using Efficient Neural Ensembles. Malaria, a life threatening disease caused by the bite of the Anopheles mosquito infected with the parasite, has been a major burden towards healthcare for years leading to approximately 400,000 deaths globally every year. This study aims to build an efficient system by applying ensemb…

  • UpdatedDec 12, 2023
  • Jupyter Notebook

Using CNN to detect Malaria with the help of cell images

  • UpdatedMar 25, 2023
  • Jupyter Notebook

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

  • UpdatedOct 14, 2022
  • Jupyter Notebook

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

  • UpdatedJun 5, 2019
  • Jupyter Notebook

Exploring image colour space transformations and augmentation for creating a classifier to characterise parasitized and uninfected RBCs. Proposes a CNN model that uses the Saturation of the HSV colour model to create a high quality classifier resulting in accuracies of 99.3% and above.

  • UpdatedDec 30, 2022
  • Jupyter Notebook

This project comprises predicting different types of disease at one place Pneumonia, Malaria, Liver Disease and Cardiovascular Disease

  • UpdatedJan 9, 2023
  • Jupyter Notebook

A generalized deep learning-based framework for assistance to the human malaria diagnosis from microscopic images

  • UpdatedJan 12, 2022
  • Jupyter Notebook

Malaria is a serious global health problem that affects millions of people each year. One of the challenges in diagnosing malaria is identifying infected cells from microscopic images of blood smears. Convolutional Neural Networks (CNNs) are a type of deep learning algorithm that have been used for image classification tasks etc

  • UpdatedJul 15, 2024
  • Jupyter Notebook

This repository contains code for a malaria detection system using a pre-trained ResNet50 model on TensorFlow. The model is trained to detect malaria parasites in cell images.

  • UpdatedJul 10, 2023
  • Jupyter Notebook

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

  • UpdatedDec 24, 2019
  • Python
  • UpdatedFeb 13, 2020
  • Jupyter Notebook

CenterNet for Malaria parasites detection

  • UpdatedJul 25, 2024
  • Jupyter Notebook

Malaria Cell Detection using Pytorch

  • UpdatedOct 2, 2019
  • Jupyter Notebook

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