Background: Fundus vessel segmentation is crucial for the early diagnosis of ocular diseases. However, existing deep learning-based methods, although effective for detecting coarse vessels, still face ...

Forbes contributors publish independent expert analyses and insights. Nirit Cohen covers the Future of Work, bridging trends with solutions. As the AI revolution barrels through boardrooms and onto ...

This repository is the official implementation of CMFS, a unified framework that leverages CLIP-guided modality interaction to mitigate noise in multi-modal image fusion and segmentation.

Pioneering instance management, driving innovative solutions for efficient resource utilization, and enabling a more sus ...

Segmentation of Biomedical Images is based on U-Net. This U-Net implementation using Keras and TensorFlow has varying depth that can be specified by model input.

Abstract: In medical image analysis application, some segmentation methods based on deep learning often make mistakes in segmentation on some fine edges, while the distance regularization level set ...

1 School of Biomedical Engineering, Sichuan University, Chengdu, China 2 National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China ...

Learn what inventory accounting is, how it works, and key methods like FIFO, LIFO, and WAC. Includes real-world examples, tips, and best practices. I like to think of ...

Here’s a roundup of answers to three questions from readers. 1. Should managing an entry-level staffer be this much work? I work for a consulting firm that deals with a flurry of client demands and ...