Automatic lung segmentation in low-dose chest CT scans using convolutional deep and wide network (CDWN)
Sign Up to like & getrecommendations! Published in 2018 at "Neural Computing and Applications"
DOI: 10.1007/s00521-018-3877-3
Abstract: Computed tomography (CT) imaging is the preferred imaging modality for diagnosing lung-related complaints. Automatic lung segmentation is the most common prerequisite to develop a computerized diagnosis system for analyzing chest CT images. In this paper,… read more here.
Keywords: deep wide; segmentation; lung segmentation; automatic lung ... See more keywords
Deep, Wide, or Shallow? Artificial Neural Network Topologies for Predicting Intermittent Flows
Sign Up to like & getrecommendations! Published in 2021 at "Hydrology and Earth System Sciences Discussions"
DOI: 10.5194/hess-2021-176
Abstract: Abstract. Intermittent Rivers and Ephemeral Streams (IRES) comprise 60 % of all streams in the US and about 50 % of the streams worldwide. Furthermore, climate-driven changes are expected to force a shift towards intermittency in currently… read more here.
Keywords: deep wide; topology; flow flow; artificial neural ... See more keywords