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
The PAU Survey: Measuring intrinsic galaxy alignments in deep wide fields as a function of colour, luminosity, stellar mass and redshift
Sign Up to like & getrecommendations! Published in 2025 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/staf1630
Abstract: We present the measurements and constraints of intrinsic alignments (IA) in the Physics of the Accelerating Universe Survey (PAUS) deep wide fields, which include the W1 and W3 fields from the Canada-France-Hawaii Telescope Legacy Survey… read more here.
Keywords: redshift; deep wide; survey; wide fields ... 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