COVID-19 Detection Using Chest X-Ray

Classification and Gradient-based Localization of Chest Radiographs using PyTorch.

Use Deep Learning model to diagnose 14 pathologies on Chest X-Ray and use GradCAM Model Interpretation Method

This repository is used to create Machine Learning models. Building three kinds of models that include covid detection, fruit and vegetable nutrition content, and general disease detection.

Models Supported: DenseNet121, DenseNet161, DenseNet169, DenseNet201 and DenseNet264 (1D and 2D version with DEMO for Classification and Regression)

A Deep Learning Projects For Diagnosis of COVID Disease by Chest X-Ray Images.

For Korean speech emotion detect, this model is trained by Korean dataset. There is no enough Korean dataset, so i tried to make this repo.

"Covid19-Detector" is a Django-ReactJS Web App with an Artificial Intelligence. It can detect COVID-19 from CT Scan Images using CNN based on DenseNet121 architecture

Stack of REST APIs built on Flask for serving requests to MAMMORY (App), deployed on Azure with GitHub Actions (CI/CD)

Image classification on Satellite Dataset-RSI-CB256 with torchvision models.

Eye Disease Detection using Transfer Learning (DenseNet-121, EfficientNetB3, VGG-16, Resnet-152)

Sakarya University Final Year Project of Özge Çinko and Kader Miyanyedi.

AI to detect and classify Pneumonia from Chest XRay Images

Building a powerful Neural network that can classify Natural Scenes around the world

Malaria cell image classification to classify either "uninfected" or "parasitized" using Densenet 121

This project utilizes a sophisticated deep learning model trained to classify breast ultrasound images into three categories: benign, malignant, or normal, thus determining the presence of breast cancer.

[Deep Learning] Building an image classifier application using Pytorch - a project from Data Scientist NanoDegree

TensorFlow-Android 经典模型从理论到实战（微课视频版）

Ensemble based transfer learning approach for accurately classifying common thoracic diseases from Chest X-Rays

Leveraging the recent advances in machine learning and availability of public medical imaging datasets, we created a Free Online X-Ray Diagnostic Tool using deep learning that can determine the X-ray type and visualize the pathology.