Over-automation kills B2B deals. Discover why a human-centric sales strategy is essential for closing the trust gap. NEWARK, DE, UNITED STATES, January 8, 2026 /EINPresswire.com/ — While artificial ...

FLAMeS, a new convolutional neural network, enhances MS lesion segmentation accuracy using only T2-weighted FLAIR images, making it more applicable in clinical settings. The algorithm outperformed ...

1 School of Science, Tianjin University of Technology and Education, Tianjin, China. 2 School of Big Data, Lvliang Vocational and Technical College, Lvliang, China. Early image segmentation was mainly ...

For years, microsegmentation has carried a reputation for being too complex, too manual, or too advanced for most organizations. In fairness, legacy microsegmentation solutions earned that estimation ...

Abstract: Active contour models (ACMs) have shown effectiveness on remote sensing (RS) image segmentation tasks. However, this type of method still faces two important problems when segmenting RS ...

Instance segmentation has been the most challenging task in the field of computer vision, and its techniques are widely used in the fields of intelligent driving, intelligent medical imaging, remote ...