Abstract: In this paper, we introduce U-Net v2, a new robust and efficient U-Net variant for medical image segmentation. It aims to augment the infusion of semantic information into low-level features ...

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

Dynamic web apps with HTMX, Python, and Django Use HTMX to give HTML the easy interactivity it always needed. Combine HTMX with Python and its super-powered Django framework, and you’ve got a web ...

Installing Python and related applications on a system without a network connection isn’t easy, but you can do it. Here’s how. The vast majority of modern software development revolves around one big ...

Every few years or so, a development in computing results in a sea change and a need for specialized workers to take advantage of the new technology. Whether that’s COBOL in the 60s and 70s, HTML in ...

Abstract: This paper presents a novel hardware accelerator specifically designed for the U-Net architecture, a popular model in image segmentation tasks. The proposed accelerator is implemented using ...

U-Net and its variants have been widely used in the field of image segmentation. In this paper, a lightweight multi-scale Ghost U-Net (MSGU-Net) network architecture is proposed. This can efficiently ...

Accurate brain tumour segmentation is critical for diagnosis and treatment planning, yet challenging due to tumour complexity. Manual segmentation is time-consuming and variable, necessitating ...

Operator learning is a transformative approach in scientific computing. It focuses on developing models that map functions to other functions, an essential aspect of solving partial differential ...

Shout! Studios has reached an agreement with Mercury Studios Media Limited to license exclusive U.S. and Canadian distribution rights including AVOD, SVOD, broadcast, theatrical and non-theatrical ...