Automated stroke lesion segmentation in non-contrast CT scans using dense multi-path contextual generative adversarial network.
Sign Up to like & getrecommendations! Published in 2020 at "Physics in medicine and biology"
DOI: 10.1088/1361-6560/aba166
Abstract: BACKGROUND AND OBJECTIVE Stroke lesion volume is a key radiologic measurement in assessing prognosis of acute ischemic stroke (AIS) patients. The aim of this paper is to develop an automated segmentation method for accurately segmenting… read more here.
Keywords: network; stroke lesion; segmentation; dense multi ... See more keywords
Joint User Selection and Energy Minimization for Ultra-Dense Multi-channel C-RAN With Incomplete CSI
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Journal on Selected Areas in Communications"
DOI: 10.1109/jsac.2017.2710858
Abstract: This paper provides a unified framework to deal with the challenges arising in dense cloud radio access networks (C-RAN), which include huge power consumption, limited fronthaul capacity, heavy computational complexity, unavailability of full channel state… read more here.
Keywords: multi channel; selection; incomplete csi; dense multi ... See more keywords