ENSEMBLE OF 2D RESIDUAL NEURAL NETWORKS INTEGRATED WITH ATROUS SPATIAL PYRAMID POOLING MODULE FOR MYOCARDIUM SEGMENTATION OF LEFT VENTRICLE CARDIAC MRI

Cardiac disease diagnosis and identification is problematic mostly by inaccurate segmentation of the cardiac left ventricle (LV).Besides, LV segmentation is challenging since it involves complex and variable cardiac structures in terms of components and the intricacy of time-based crescendos.In addition, full segmentation and quantification of the

Objective: This case study sought to provide early information on the accuracy and relevance of selected GPT-based product responses Face Paints to basic information queries, such as might be asked in librarian research consultations.We intended to identify positive possibilities, limitations, and ethical issues associated with using these tools in

With the growth of data in the real world, datasets often encounter the problem of long-tailed distribution of class sample sizes.In long-tailed image recognition, existing solutions usually adopt a class rebalancing strategy, such as reweighting based on the effective sample size of each class, which leans towards common classes in terms of higher

Central vascular access (CVA) may be critical for trauma care and stabilizing the Natural Gas Conversion Kit casualty.However, it requires skilled personnel, often unavailable during remote medical situations and combat casualty care scenarios.Automated CVA medical devices have the potential to make life-saving therapeutics available in these resou