Abstract: Glaucoma, a progressive optic neuropathy leading to irreversible visual field defects and heightened intraocular pressure, underscores the critical need for early detection to prevent vision ...

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 ...

Net zero refers to the goal of achieving a state of balance between the carbon emitted into the atmosphere and the carbon removed from it. U.S. Energy Secretary Chris Wright's sharp criticism of net ...

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 ...

Objective: Eyelid curvature analysis serves as a key morphological indicator in the diagnosis of ophthalmic diseases and postoperative evaluation. This study aims to develop an automated and ...

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 ...