/COVID-19-CT-Scan

Training a pixel segmentation neural network for classification of Covid19 lung CT-scans using UNET implemented in Tensorflow and Keras.

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COVID-19-CT-Scan

Image segmentation and classification for Covid19 lung CT-scans using UNET implemented in Tensorflow and Keras.

Apart from classification, CNN is used today for more advanced problems like image segmentation, object detection, etc. Image segmentation is a process in computer vision where the image is segmented into different segments representing each different class in the image.

Segmentation helps to identify where objects of different classes are present in an image. UNet is a convolutional neural network architecture that expanded with few changes in the CNN architecture. It was invented to deal with biomedical images by Olag Ronneberger et al. where the target is not only to classify whether there is an infection or not but also to identify the area of infection.