One of the major challenges in video object detection is drastic scale changes of objects due to camera motion.In this paper, we propose a two-path Convolutional Long Short-Term Memory (convLSTM) pyramid network designed to extract and convey multi-scale temporal contextual information in order to handle object scale changes efficiently.The propose
Benjamin Q Duong,1 Meghan J Arwood,2 J Kevin Hicks,3 Amber L Beitelshees,4 Francesco Franchi,5 John T Houder,2 Nita A Limdi,6 Kelsey J Cook,7,8 Aniwaa Owusu Obeng,9 Natasha Petry,10 Sony Tuteja,11 Amanda R Elsey,2 Larisa H Cavallari,2 Kristin Wiisanen2 on behalf of the IGNITE Network1Department of Precision Medicine, Nemours/Alfred I.DuPont Hospita
Although not all renal disease that diabetic patients develop is due to diabetic glomerulosclerosis, the great majority of patients progressing to advanced renal Absorbent Products failure suffer from diffuse or nodular (Kimmelstiel Wilson′s) diabetic glomerulosclerosis.This condition has become the single most frequent cause of end-stage re
Abstract Following periods of health workforce crisis characterised by a severe Collections shortage of nurses, midwives and doctors due to low production rates and excessive out-migration, the Government of Ghana through the Ministry of Health (MOH) responded by expanding training and allowing private sector involvement in the training of health w
Children from developed and developing countries differ in their body size and shape due to marked differences across their life history caused by social, economic and cultural differences which are also linked to their motor performance (MP).We used allometric models to identify size/shape characteristics associated with MP tests between Brazilian