id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_aayskfc7ajcojb5l63iejmmpvy	Shimaa El-bana	A multi-task pipeline with specialized streams for classification and segmentation of infection manifestations in COVID-19 scans	2020	27	.pdf	application/pdf	11621	1375	58	specialized streams in which multiple deep models are trained separately to segment segmentation of infection manifestations in COVID-19 scans. learning methods for COVID-19 diagnosis and infection segmentation is presented in recognition based on deep models, segmentation of COVID-19-related infection manifestations based on deep models, multi-task pipelines that have the ability to (2020) proposed a deep-learning-based, multi-task, two-stage approach for infection Figure 5 The proposed CNN model for multi-label classification of infection manifestations. features a DeepLab-v3+ model that trains to segment a specific type of manifestations. in X-rays and CT scans, (2) Multi-label recognition of COVID-19 manifestations in For the segmentation task, our training set contains 5,000 COVID-19 images and the https://github.com/shimaaelbana/Classification-and-Segmentation-of-infection-manifestations-in-COVID-19-scans https://github.com/shimaaelbana/Classification-and-Segmentation-of-infection-manifestations-in-COVID-19-scans A multi-task pipeline with specialized streams for classification and segmentation of infection manifestations in COVID-19 scans ... A multi-task pipeline with specialized streams for classification and segmentation of infection manifestations in COVID-19 scans ...	./cache/work_aayskfc7ajcojb5l63iejmmpvy.pdf	./txt/work_aayskfc7ajcojb5l63iejmmpvy.txt