An image retrieval methodology suited for search in large collections of heterogeneous images is presented.The proposed approach employs a fully unsupervised segmentation algorithm to divide images into regions and endow the indexing and retrieval system with content-based functionalities.Low-level descriptors for the color, position, size, and sha
Dairy products such as raw milk and artisanal cheeses are marketed in open markets and directly at home throughout Brazil, even with prohibitions in Brazilian legislation, leading in many cases to the production of food without hygienic conditions that can be configured as an important source transmission of pathogens and, consequently, a danger to
Abstract Background This study evaluated the separate and combined associations of physical activity and obesity with blood lipids in Chinese adults with and without diabetes.Methods Data of 17,535 participants aged 18 to 78 years old were collected.Physical activity was categorized as inactive (low) or active (moderate or high) according to the In
Introduction: Chronic ulcers significantly burden healthcare systems, requiring precise measurement and assessment for effective treatment.Traditional methods, such as manual segmentation, are time-consuming and error-prone.This review evaluates the potential of artificial intelligence AI-powered mobile apps for automated ulcer segmentation and the