COVID-19 / MLOps

Performing Instance Segmentation on X-Ray Images with Mask R-CNN

Prediction of COVID-19 infection with Deep Learning using Chest X-Rays

Introduction

Understanding Image Segmentation

Related Works

Understanding Ground Glass Opacity in X-Rays

Technologies Used

Supervisely

Getting Started

Requisites

Working with Supervisely

1. Uploading the dataset of Images

2. Annotating all Uploaded Images

3. Performing Data Augmentation

5. Connecting to EC2 Instance to train the model

6. Finding the Output

Conclusion

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