Optical fibers are fundamental components in modern science and technology due to their inherent advantages, providing an ...

Request To Download Free Sample of This Strategic Report@ The North America healthcare IT market encompasses a wide range of technologies and solutions aimed at improving healthcare delivery, patient ...

Whether you’re looking to find a friend’s profile, checking to see if anyone is infringing on your copyrighted images, or hunting down the source of a viral meme, Facebook reverse image ...

Abstract: Objective: Tongue image segmentation is a crucial step in the intelligent ... By optimizing the model structure and data processing strategies, the accuracy and practicality of tongue ...

If you like our project, please give us a star ⭐ on GitHub for latest update. Highly Accurate Dichotomous Image Segmentation presents a new task called Dichotomous Image Segmentation (DIS), which aims ...

MONDAY, Jan. 13, 2025 (HealthDay News) -- A new database, GroceryDB, can show the degree of processing of more than 50,000 food items sold at Walmart, Target, and Whole Foods, according to a study ...

Facebook user Fuentes Liliana took to the social networking site on January 9, 2025, to share an image of a destroyed mansion, caught in flames and burning down. The caption of the post read ...

Abstract: With the rapid development of convolutional neural networks in image processing, deep learning has been widely applied to medical image segmentation tasks, including liver, retinal vessels, ...

Results: Extensive experimental evaluations demonstrate that our approach significantly outperforms existing state-of-the-art methods for UWF fundus image segmentation. The study of blood vessel ...

This project demonstrates using a U-Net model with PyTorch for image segmentation and denoising tasks. It effectively segments nuclei in microscopy images and removes noise from natural images.