Topic: malaria Goto Github
Some thing interesting about malaria
Some thing interesting about malaria
malaria,Implementation of a deep learning model for leukemia classification and malaria detection using CNNs. The model utilizes transfer learning with VGG19 and InceptionV3 architectures, trained on custom datasets. The code includes data preprocessing, model training, evaluation, and visualization of performance metrics. Achieved high accuracy
User: ahmedtambal
malaria,Malaria detection notebook for computer vision beginners 🎓💻
User: alfonmedela
malaria,A generalized deep learning-based framework for assistance to the human malaria diagnosis from microscopic images
User: benhabiles-projects
malaria,Python package to optimize mosquito traps' positioning in field trials.
User: chipdelmal
malaria,Article Repository for: Ensemble Machine Learning Modeling for the Prediction of Artemisinin Resistance in Malaria
User: colbyford
Home Page: https://www.synapse.org/#!Synapse:syn16924919/wiki/590952
malaria,Companion repository for: "Comparative transcriptomics reveal differential gene expression among Plasmodium vivax geographical isolates and implications on erythrocyte invasion mechanisms" by Kepple, et al.
User: colbyford
Home Page: https://journals.plos.org/plosntds/article?id=10.1371/journal.pntd.0011926
malaria,dEploid is designed for deconvoluting mixed genomes with unknown proportions. Traditional ‘phasing’ programs are limited to diploid organisms. Our method modifies Li and Stephen’s algorithm with Markov chain Monte Carlo (MCMC) approaches, and builds a generic framework that allows haloptype searches in a multiple infection setting.
Organization: deploid-dev
Home Page: http://deploid.readthedocs.io/en/latest/index.html
malaria,An R interface for dEploid. dEploid is designed for deconvoluting mixed genomes with unknown proportions. Traditional ‘phasing’ programs are limited to diploid organisms. Our method modifies Li and Stephen’s algorithm with Markov chain Monte Carlo (MCMC) approaches, and builds a generic framework that allows haloptype searches in a multiple infection setting.
Organization: deploid-dev
Home Page: https://github.com/mcveanlab/DEploid
malaria,Haar feature-based cascade classifier to detect infected cells with Malaria
User: emeyva
malaria,MOI and Allele Frequency Recovery from Noisy Polyallelic Genetics Data
Organization: eppicenter
Home Page: https://EPPIcenter.github.io/moire/
malaria,Application d’éducation sur le paludisme et d’accès aux services de santé au Congo. / Application of education on malaria and access to health services in Congo.
Organization: fongwama
Home Page: https://fongwama.github.io/EduPalu_V2/
malaria,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
User: gokul-001
malaria,Multiple Disease Diagnosis System using Medical Images
User: gsaidheeraj
malaria,Detecting Malaria using Deep Learning 🦟🦠
Organization: hakincodes
malaria,Design and development of Peptide drugs against falciparum Malaria and a Deep learning Web App for Malaria Diagnosis
Organization: igemsoftware2020
Home Page: https://2020.igem.org/Team:IISER-Pune-India/Model
malaria,Data and code used to clean data on malaria from who website
User: imdevskp
malaria,Tutorial materials as referenced in IDM's documentation for EMOD, an agent-based disease dynamics model.
Organization: institutefordiseasemodeling
Home Page: http://idmod.org/docs/general/tutorials.html
malaria,Source files for building the IDM EMOD disease transmission model.
Organization: institutefordiseasemodeling
malaria,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.
User: jameswrc
malaria,A pipeline for variant calling from P. falciparum short reads generated from Illumina and ONT libraries
User: kevin-wamae
malaria,Malaria Detection using Deep Learning
User: krishnakatyal
malaria,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.
User: madhava20217
malaria,An R interface to open-access malaria data, hosted by the Malaria Atlas Project.
Organization: malaria-atlas-project
Home Page: https://malariajournal.biomedcentral.com/articles/10.1186/s12936-018-2500-5
malaria,Upscaling SV detection to a multi-population level.
User: mattravenhall
malaria,Binary Classification of images of cells which are either uninfected or parasitized by malaria.
User: mayur7garg
malaria,My collection of dockerfiles,
User: nathan-k-
malaria,WebUI for the Reveal epidemiological surveillance platform
Organization: onaio
malaria,Creates a construct developed by the Niles Lab at MIT, designed to deliver a 3' UTR post-transcriptional regulatory element payload to a specific given gene in Plasmodium falciparum.
User: pablocarderam
Home Page: http://genetargeter.mit.edu
malaria,Blood smears database for malaria diagnosis :microscope:
User: pierrepo
malaria,MicrOscopic VisuAlization of BLood cElls for the Detection of Malaria and CD4+
User: reds-heig
Home Page: http://reds.heig-vd.ch/rad/projets/movable
malaria,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.
User: riturajsaha
malaria,Spatial individual-based model of malaria with a focus on drug resistance evolution.
User: rjzupkoii
Home Page: http://mol.ax
malaria,Open source static cytometry, initially targeting P. falciparum malaria
User: scivision
Home Page: https://www.scivision.co/open-source-cytometry/
malaria,Neural network that recognizes malaria in blood cells by image
User: sempaku
malaria,The source code of malaria.one website.
User: sepmein
Home Page: http://malaria.one
malaria,
Organization: theaiscope
malaria,Global Disease Database – Android app to gather images for disease detection
Organization: theaiscope
malaria,Using a GPT3-based classifier to identify malaria papers reporting phenotypes
User: theosanderson
Home Page: https://papers.phenoplasm.org
malaria,This repository contains code for end-term project of class Digital Image Processing & Applications taught by Prof Deboot Sheet.
User: ummadiviany
malaria,A Machine Learning and Deep Learning based webapp used to predict multiple diseases.
User: venugopalkadamba
Home Page: https://kvg-disease-predictor.herokuapp.com
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