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

machine-learning deep-neural-networks reinforcement-learning deep-learning tensorflow scikit-learn python3 pytorch lstm kaggle-competition neural-networks self-driving-car image-captioning face-recognition gans chess-ai quick-draw machine-learning-projects sagemaker-deployment malaria-detection

• Updated Oct 2, 2020
• Jupyter Notebook

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.

front-end deep-learning back-end python3 medical classification tkinter malaria diseases cnn-model breast-cancer disease-classification skin-cancer pneumonia disease-prediction pneumonia-detection malaria-detection disease-detection skin-cancer-detection

• Updated Nov 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%.

python application deep-learning frontend backend prediction health tkinter software-development convolutional-neural-networks tkinter-graphic-interface custom-model malaria-detection disease-detection

• Updated Jun 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.

heroku deep-neural-networks convolutional-neural-networks heroku-deployment heroku-app malaria-detection

• Updated Oct 3, 2023
• Jupyter Notebook

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

machine-learning random-forest naive-bayes-classifier xgboost boosting-algorithms svm-classifier classification-algorithims bagging knn-classification statistical-machine-learning malaria-detection

• Updated Jun 5, 2019
• 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…

deep-learning neural-network healthcare digitalpathology biomedical-image-processing interpretable-deep-learning explainable-ai wholeslide-imaging snapshot-ensemble malaria-detection whole-slide-image

• Updated Dec 12, 2023
• Jupyter Notebook

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

machine-learning deep-learning tensorflow keras doctors diagnosis keras-tensorflow diagnostic cadx target-audience pneumonia-detection malaria-detection brain-tumor-detection fast-medical-checkups medical-documents

• Updated Aug 12, 2026
• CSS

Using CNN to detect Malaria with the help of cell images

python machine-learning deep-learning neural-network tensorflow keras cnn image-classification ne imagedatagenerator malaria-detection

• Updated Mar 25, 2023
• Jupyter Notebook

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

deep-learning transfer-learning vgg19 malaria-detection malaria-prediction

• Updated Oct 14, 2022
• Jupyter Notebook

MEDINFORM - AI Powered Multipurpose Web platform for Medical Image Analysis

redux javascript machine-learning deep-learning reactjs docker-image python3 transfer-learning vgg16 inceptionv3 tuberculosis diabetic-retinopathy-detection resnet-50 gcp-cloud-functions skin-cancer pneumonia-detection gcp-cloud-build malaria-detection gcp-cloud-run covid-19

• Updated Jun 19, 2020
• CSS

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

deep-learning classification segmentation malaria malaria-detection microscopic-images

• Updated Jan 12, 2022
• 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.

machine-learning neural-network cnn malaria convolutions malaria-detection

• Updated Dec 30, 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

deep-neural-networks deep-learning cnn kaggle aws-ec2 malaria binaryclassification malaria-detection

• Updated Jul 15, 2024
• Jupyter Notebook

deep-learning biomedical malaria-detection

• Updated Feb 13, 2020
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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.

tensorflow image-classification transfer-learning vgg16 vgg19 resnet-50 malaria-detection

• Updated Jul 10, 2023
• Jupyter Notebook

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

demo machine-learning gui tensorflow tkinter malaria-detection

• Updated Dec 24, 2019
• Python

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

disease-prediction pneumonia-detection liver-disease malaria-detection cardiovascular-disease

• Updated Jan 9, 2023
• Jupyter Notebook

CenterNet for Malaria parasites detection

malaria-detection

• Updated Jul 25, 2024
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Malaria Cell Detection using Pytorch

bioinformatics medicine pytorch pytorch-implmention malaria-detection

• Updated Oct 2, 2019
• Jupyter Notebook

deep-learning medical-imaging webapp transfer-learning webapplication pneumonia-detection malaria-detection endtoend covid-19 covid-19detection

• Updated Oct 20, 2021
• HTML