Over the past few years, the manufacturing industry continued to remain a critical force in both advanced and developing economies. The sector has gone through significant transformations bringing out new opportunities and challenges to business leaders and policy makers. Get PDF Sample Copy of this report at https://decisionmarketreports.com/request-sample/1247548 In advanced economies, the manufacturing sector has largely concentrated on promoting innovation, productivity and trade more than growth and employment. In many advanced economies manufacturing sector has to consume more services and rely heavily on them to operate.

LEBANON, NH - Recently, deep learning methods have shown promising results for analyzing histological patterns in microscopy images. These approaches, however, require a laborious, high-cost, manual annotation process by pathologists called "region-of-interest annotations." A research team at Dartmouth and Dartmouth-Hitchcock Norris Cotton Cancer Center, led by Saeed Hassanpour, PhD, has addressed this shortcoming of current methods by developing a novel attention-based deep learning method that automatically learns clinically important regions on whole-slide images to classify them. The team tested their new approach for identifying cancerous and precancerous esophagus tissue on high-resolution microscopy images without training on region-of-interest annotations. "Our new approach outperformed the current state-of-the-art approach that requires these detailed annotations for its training," concludes Hassanpour.