The dataset used for the segmentation can be downloaded from kaggle. Different models have been combined into one segmentation file for easier interpretation of the output.

If there are three cars in an image, semantic segmentation classifies all the cars as one instance, while instance segmentation identifies each individual car. I am going to implement the semantic ...

Against this backdrop, the broad success of deep learning (DL) has prompted the development of new image segmentation approaches leveraging DL models. We provide a comprehensive review of this recent ...

Abstract: Lung image compression and segmentation are essential diagnostic and monitoring techniques for a variety of respiratory ailments. We present a novel deep learning-based technique ...