malaria-detection
There are 1 repository under malaria-detection topic.
- Machine-Learning
anubhavshrimal / Machine-Learning
The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.
Language:Jupyter Notebook 113 RiturajSaha / Health-Discernment-System
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.
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%.
Language:Jupyter Notebook 23sid321axn / malaria-detection-app
Web app for Malaria detection from the human blood sample images which is trained on National Library of Medicine dataset using Flask and Python.
Language:Jupyter Notebook 12sauravmishra1710 / Malaria-Detection-Using-Deep-Learning-Techniques
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 ensemble techniques based on deep learning to automate the detection of the parasite using whole slide images of thin blood smears.
Language:Jupyter Notebook 9- Language:CSS 8
sayannath / Malaria-Detection-CNN
Using CNN to detect Malaria with the help of cell images
Language:Jupyter Notebook 8guramritpalsaggu / MedInform
MEDINFORM - AI Powered Multipurpose Web platform for Medical Image Analysis
Language:CSS 7Data-Science-Community-SRM / Ailment
This project comprises predicting different types of disease at one place Pneumonia, Malaria, Liver Disease and Cardiovascular Disease
Language:Jupyter Notebook 5PawarMukesh / MalariaCell-Detector
Malaria cell Binary Classification Probelm, Build DL Model USing Transfer learning technique.
Language:Jupyter Notebook 5Benhabiles-projects / MalariaNet
A generalized deep learning-based framework for assistance to the human malaria diagnosis from microscopic images
Language:Jupyter Notebook 4madhava20217 / Malaria-Detection-from-Cells
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.
Language:Jupyter Notebook 4Compare Naive Bayes, SVM, XGBoost, Bagging, AdaBoost, K-Nearest Neighbors, Random Forests for classification of Malaria Cells
Language:Jupyter Notebook 3arham-kk / malaria-detection-models
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.
Language:Jupyter Notebook 3- Language:Jupyter Notebook 3
- Language:Jupyter Notebook 3
Ritzing / MalariaDetection-Pytorch
Malaria Cell Detection using Pytorch
Language:Jupyter Notebook 3- Language:Python 3
Anindra123 / malaria-detection-app
This app utilizes machine learning model to identify parasitized malaria cell and uninfected cells
Language:CSS 2arijitiiest / Malaria-Detection
Malaria Detection Project on Malaria Cells
Language:Jupyter Notebook 2Gokul-001 / Detection-Of-Malarial-Infected-Cells-Using-CNN
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
Language:Jupyter Notebook 2itaynir1 / Malaria-Detection-by-Neuralearn-TensorFlow
This project utilizes TensorFlow to create a malaria detection model based on a modified LeNet architecture. It preprocesses the dataset, trains the model, and achieves accurate malaria detection with visualization.
Language:Jupyter Notebook 2alihussainia / Malaria_Edge_Detection
The project includes OpenVINO optimized image classification fast.ai model used to learn and classify healthy and infected blood smear malaria images.
Language:Jupyter Notebook 1- Malaria-Data-Exploration
fetterollie / Malaria-Data-Exploration
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.
Language:Jupyter Notebook 1 GSaiDheeraj / All-End-to-End-Projects
All the projects in this repository are END to END in the sense projects are done from scratch from data collection to deployment of the deep learning models.
Language:HTML 1- Language:HTML 1
harirakul / Malaria-Detection
Using tensorflow to predict if a cell is infected by malaria.
Language:Jupyter Notebook 1lightknight64bit / malaria-classification
Malaria classification app
Language:Jupyter Notebook 1mchinmayarao / MalariaDetector
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.
Language:MATLAB 1musstafa08-bug / Maleria-Detection
Malaria Detection Web App.
Language:HTML 1namanadlakha3 / EDoc-MedicalApp
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.
Language:CSS 1nikhil-188 / Malaria_Classification_usingDL
In this project, I implemented algorithms (VGG16, VGG19, and CNN) to develop a malaria detection system using blood cell images. The goal was to automate the traditional method of identifying malaria, which involves examining blood smears under a microscope.
Language:Jupyter Notebook 1princebari / Malaria-Disease-Detection-Using-Transfer-Learning
The GitHub repository presents an end-to-end case study on Malaria Disease Detection using CNN and Transfer Learning. The goal is to predict whether a given cell image is parasitized or uninfected.
Language:Jupyter Notebook 1Salmaki-hub / Malaria_Disease_Detection
The main task of this project was to predict whether a person has Malaria Disease or not.
Language:Jupyter Notebook 1sarkerrabi / Malaria-detection-with-ML-kit
Malaria is a life-threatening disease that is spread by the Plasmodium parasites. It is detected by trained microscopists who analyze microscopic blood smear images. Modern deep learning techniques may be used to do this analysis automatically. The need for the trained personnel can be greatly reduced with the development of an automatic accurate and efficient model. In this article, we propose an entirely automated Convolutional Neural Network (CNN) based model for the diagnosis of malaria from the microscopic blood smear images. A variety of techniques including knowledge distillation, data augmentation, Autoencoder, feature extraction by a CNN model and classified by Support Vector Machine (SVM) or K-Nearest Neighbors (KNN) are performed under three training procedures named general training, distillation training and autoencoder training to optimize and improve the model accuracy and inference performance. Our deep learning-based model can detect malarial parasites from microscopic images with an accuracy of 99.23% while requiring just over 4600 floating point operations. For practical validation of model efficiency, we have deployed the miniaturized model in different mobile phones and a server-backed web application. Data gathered from these environments show that the model can be used to perform inference under 1 s per sample in both offline (mobile only) and online (web application) mode, thus engendering confidence that such models may be deployed for efficient practical inferential systems.
Language:Kotlin 1- SADDLE-POINT-RECRUITMENT-FOR-KNOWLEDGE-DISTILLATION
thetechdude124 / SADDLE-POINT-RECRUITMENT-FOR-KNOWLEDGE-DISTILLATION
ISEF 2023 (TEAM CANADA) PROJECT. Find the complete documentation and code in the README file linked here and below.
Language:Jupyter Notebook 1
