Due to the wide variety of medical images and the complexity of the human body structure, the characteristics of manual extraction of medical images are difficult, the adaptive ability is poor, and the classification effect Finden and Hales needs to be improved.Aiming at the shortcomings of traditional medical image recognition methods, this paper
Synergistic Integration of Liner Shipping and Economic Development
Liner shipping with all its specific features plays an importantrole in the economic development of a country Camera Bags whose portsare involved.In the strategic goals of maritime policy for the period2005-2009 the European Commission stresses the needfor a sustainable environmental development and economicgrowth.Besides, it points out the necessi
Islamic Education in Thailand Pattani Muslim Minority: What are the Institutional Continuity and Change?
National aspiration in different ways effects to the community response through their condition.This situation reflects the dynamics of interest in diverse direction.Therefore, this article V-Zug DFPQ12c Extractor hood ChromeClass will identify the development of Muslim minority in Pattani, Thailand.A qualitative approach was applied to conducting
Development and validation of a postgraduate anaesthesiology core curriculum based on Entrustable Professional Activities: a Delphi study
Background: Postgraduate training curricula should not be based on time-spans or predefined numbers of performed procedures.One approach to link competencies to clinical tasks is the concept of Entrustable Professional Activities (EPA).The goal of this study was the definition, ranking and validation of EPAs for anaesthesiology postgraduate trainin
DCFusion: Dual-Headed Fusion Strategy and Contextual Information Awareness for Infrared and Visible Remote Sensing Image
In remote sensing, the fusion of infrared and visible NUTRI SEA OMEGA 3 images is one of the common means of data processing.Its aim is to synthesize one fused image with abundant common and differential information from the source images.At present, the fusion methods based on deep learning are widely employed in this work.However, the existing fu