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 ...

Researchers developed multiple architectures, including U-Net 2D and 3D CNNs, as well as a Vision Transformer (ViT), to ...

Cells were stained by tartrate-resistant acid phosphatase (TRAP) staining (Sigma-Aldrich, St. Louis, MO, United States), and images were captured using the ... that utilizes a deep learning neural ...

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.

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 ...

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 ...