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 the Inception Net V1 architecture works and how to implement it from scratch using PyTorch. Perfect for deep learning enthusiasts wanting a hands-on understanding of this classic ...

The Python Software Foundation (PSF) has withdrawn its $1.5 million grant proposal to the U.S. National Science Foundation (NSF) due to funding terms forcing a ...

Abstract: Existing U-Net-based unsupervised deformable registration methods often fall short in accuracy due to their limited capacity to capture global features, which are essential for precise ...

Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...

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 ...

Federal agencies moved to satisfy Trump’s orders to remove topics like diversity initiatives and “gender ideology.” By Ethan Singer More than 8,000 web pages across more than a dozen U.S. government ...

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 ...