Abstract: Encoder-decoder networks are state-of-the-art approaches to biomedical image segmentation, but have two problems: i.e., the widely used pooling operations may discard spatial information, ...

Image processing is manipulation of an image that has been digitised and uploaded into a computer. Software programs modify the image to make it more useful, and can for example be used to enable ...

Master artificial intelligence in 2025 with this comprehensive guide. Explore AI fundamentals, machine learning, deep ...

Master data science in 2025. Complete guide to machine learning, big data analytics, Python programming, statistical modeling ...

Source code for the paper: "Gaussian Random Fields as an Abstract Representation of Patient Metadata for Multimodal Medical Image Segmentation" ...

Boston University's new Cell-TRACTR uses advanced AI to track and analyze cells more accurately during processes like ...

Add a description, image, and links to the quantum-image-processing topic page so that developers can more easily learn about it.