This is the Part III of our Covid-19 series. In this post, we will build a model to locate infected lesions in lung CT scans.

This is the Part II of our Covid-19 series. In this post, we will build a lung segmenation model an Covid-19 CT scans.

In this post, we will build an Covid-19 image classifier on lung CT scan data. This is a Kaggle dataset, you can download the data using this link or use Kaggle API. This is the Part I of the Covid-19 Series.

In this post, we'll see how to create a Beagle Detector using Faster-RCNN. Faster-RCNN is the state-of-the-art object detection model in terms of detection accuracy.

This time, we are using PyTorch to train a custom Mask-RCNN. And we are using a different dataset which has mask images (.png files) as . So, we can practice our skills in dealing with different data types. Without any futher ado, let's get into it.