How Search Engines Tailor Results To Individual Users & How Brands Should Manage It

Secure stronger market performance by unifying your brand signals across search, AI platforms, and on-site experiences.
GitHub

A Bayesian Approach to Segmentation with Noisy Labels via Spatially Correlated Distributions

Our approach models label noise in semantic segmentation with a probabilistic framework that incorporates spatial correlations. By introducing a continuous latent ...
IEEE

A Hybrid Deep Learning Approach for Skin Lesion Segmentation With Dual Encoders and Channel-Wise Attention

Abstract: Skin cancer poses a significant global health challenge due to its increasing incidence rates. Accurate segmentation of skin lesions is essential for early detection and successful treatment ...
IEEE

A Novel Approach With Enhanced Accuracy and Efficiency for Image Segmentation

Abstract: Image segmentation is a fundamental and critical task in computer vision, with applications across various domains, such as medical imaging, autonomous driving, and satellite image analysis.
Frontiers

FODSeg: A Deep Learning Framework for Tract-Specific White Matter Segmentation from Full Angular Distributions

The final, formatted version of the article will be published soon. White matter tract segmentation is critical for mapping brain connectivity in both clinical and research settings. Recent deep ...