czbiohub-sf/remo-stats-utils

This is a collection of statistics utilities used to support the Remoscope project at the Chan Zuckerberg Biohub San Francisco.

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nixhantb/Onsite-Health-Diagnostic-OHD

The project aids users to predict the Diseases such as cancer, pneumonia , Heart failure etc in web application. Please use the website link mentioned below.

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itaynir1/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.

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madhava20217/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.

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Anindra123/malaria-detection-app

This app utilizes machine learning model to identify parasitized malaria cell and uninfected cells

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Gokul-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

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JamesWRC/MDT_GUI

A basic GUI Malaria Diagnosis Tool (MDT) to help lab scientists find the probable type of malaria a patient may have based on the country they come form / country they are in.

Language: Java - Size: 91.7 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

guramritpalsaggu/MedInform

MEDINFORM - AI Powered Multipurpose Web platform for Medical Image Analysis

Language: CSS - Size: 106 MB - Last synced at: 12 months ago - Pushed at: almost 5 years ago - Stars: 7 - Forks: 6

Farah-S/Malaria-Cells-Classification-Using-CNN

Classification of parasitized and uninfected malaria cells using original CNN model, compared with VGG19, ResNet, DenseNet and InceptionV3

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praj2408/Onsite-Health-Companion-OHC

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.

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fpezzuti/MalariaDetectorCNN

Deep learning classifier for diagnosis of malaria infection of blood cells. University project developed by Francesca Pezzuti and Pietro Tempesti for the Computational Intelligence and Deep Learning course.

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ishani-chakraborty/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 average of tumor area size of parasitized cells.

Language: Python - Size: 177 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 1

Data-Science-Community-SRM/Ailment

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

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Kmohamedalie/Malaria_Screener

Malaria Screener 🦟🔎🤖🧠

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sayannath/Malaria-Detection-CNN

Using CNN to detect Malaria with the help of cell images

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SmartPracticeschool/llSPS-INT-190-Malaria-detection-from-cell-images

Detecting Malaria From Cell Images

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We-Gold/Malaria

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

Language: Python - Size: 536 MB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 0

Salmaki-hub/Malaria_Disease_Detection

The main task of this project was to predict whether a person has Malaria Disease or not.

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shreyasri258/MalariaFind

Malaria detection using CNN model

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sauravmishra1710/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.

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namanadlakha3/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.

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arham-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.

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alihussainia/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.

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guomianzhao2010/Malaria-Detection-and-Prevention

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joshininder/Malaria-Detection-using-Max-Voting-on-Fine-Tuned-Models

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. Therefore, in this repository I have tried to create a solution for the malaria detection by ensembling (bundling) pretrained models such as InceptionResNetV2, denseNet and VGG19 followed by max voting.

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amanbhagat0399/Malaria-Detection-CNN

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aayushk614/Mosquito-Net

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

Language: Python - Size: 565 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

uzairhussain777/Malaria-Detection-Using-CNN-97.42-Accuracy

Malaria-Detection-Using-CNN

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Amit-H/Malaria-classifier

CNN built in Python using Keras to classify parasitised malaria cells

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musstafa08-bug/Maleria-Detection

Malaria Detection Web App.

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mchinmayarao/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.

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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.

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nikhil-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.

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princebari/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.

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akash8190/maleria-disease-prediction-using-transfer-learning

In this project we simply detect malaria using one of the best deep-learning technique is called transfer learning

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anubhavshrimal/Machine-Learning

The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.

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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.

Size: 37.1 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 25 - Forks: 13

PawarMukesh/MalariaCell-Detector

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

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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.

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anubhavshrimal/SML-Malaria-Detection

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

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SANUS-ML/SANUS-WEB

SANUS - A CADx Platform. To detect diseases with medical records.

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arijitiiest/Malaria-Detection

Malaria Detection Project on Malaria Cells

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Armandotrsg/MalariaDetection

Dielectrophoresis system simulation for malaria's detection.

Size: 158 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

Divyanshu-Sri316/MalariaDisease

It is a working Deep Learning model that can be used to predict whether a patient is infected with Malaria or not.

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lightknight64bit/malaria-classification

Malaria classification app

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Madhushree2000/Malaria-Detection

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

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sid321axn/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.

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harirakul/Malaria-Detection

Using tensorflow to predict if a cell is infected by malaria.

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GSaiDheeraj/End-to-End-Multiple-diseases-detection

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ell-hol/Malaria-Detection-CNN

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

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sonu275981/Malaria-Detection-using-Transfer-Learning

Malaria Detection using Transfer Learning

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colbyford/pfHRP_MLModel

Modeling Plasmodium falciparum Diagnostic Test Sensitivity using Machine Learning with Histidine-Rich Protein 2 Variants

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mausam3407/Malaria

ahbssdjnvdvzjncjzbvxv

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ErickDiaz/bioinformatic_thesis_project

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OfficialNMN/Malaria-Detection

Malaria-Detection using VGG-19.

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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.

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kanishksh4rma/Malaria-Detection-using-Blood-Cells

Malaria is the deadliest disease in the earth and big hectic work for the health department. The traditional way of diagnosing malaria is by schematic examining blood smears of human beings for parasite-infected red blood cells under the microscope by lab or qualified technicians. This process is inefficient and the diagnosis depends on the experience and well knowledgeable person needed for the diagnosis.

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sarkerrabi/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.

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monikadelekta/Automatically-Detecting-Malaria

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

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murugeshmanthiramoorthi/Detecting-Malaria-using-CNN

A convolutional neural network to classify blood cells between malaria infected and non-infected cases.

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hasibzunair/malaria-detection

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

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suyashtrivedi99/Project-Deep-Learning

Using Neural Network to predict presence of Malarial Infection

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Jash271/Malaria_Detection

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

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mwoss/malaria-detection

Malaria cells detection using CNN model.

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ananaymital/llSPS-INT-190-Malaria-detection-from-cell-images Fork of SmartPracticeschool/llSPS-INT-190-Malaria-detection-from-cell-images

Detecting Malaria From Cell Images

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kir486680/malaria_cnn

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suryarb/My_Data_Science_Projects

This repository contains the projects/models that I have worked on during the course of my data science practice at UTS/Institute of Data.

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siddhanthp27/Malaria-Detection-Using-Deep-Learning

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

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Marve1ous/malaria

疟疾检测 Malaria detection

Language: Python - Size: 98.5 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 1