GESTATIONAL AND NEONATAL OUTCOMES OF WOMEN WITH PARTIAL DUNNIGAN LIPODYSTROPHY


Which data subset should be augmented for deep learning? a simulation study using urothelial cell carcinoma histopathology images

Abstract Background Applying deep learning to digital histopathology is hindered by the scarcity of manually annotated datasets.While data augmentation can ameliorate this obstacle, its methods are far from standardized.Our aim was to systematically explore the effects of skipping data augmentation; applying data augmentation to different subsets o

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The effect of unemployment and post-natal care on the exclusive breast-feeding practice of women in Ethiopia: a systematic review and meta-analysis

Plain Language summary Promotion of EBF in developing countries including Ethiopia is very Fry Pans crucial strategy to improve the survival of children.Despite this, several factors prohibit women from practicing EBF of which post-natal care service utilization and employment status are the main determinants.The previous studies in Ethiopia are in

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IoT System Selection as a Fuzzy Multi-Criteria Problem

This research aims to analyse the applications of IoT in agriculture and to compare the most widely used IoT platforms.The problem of determining the most appropriate IoT system depends on many factors, often expressed by incomplete and uncertain estimates.In order to find a feasible decision, Front Grill this study develops a multi-criteria framew

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