Results 31 to 40 of about 1,027,197 (303)
An approach to the diagnosis of lumbar disc herniation using deep learning models
Frontiers in Bioengineering and Biotechnology, 2023 Background: In magnetic resonance imaging (MRI), lumbar disc herniation (LDH) detection is challenging due to the various shapes, sizes, angles, and regions associated with bulges, protrusions, extrusions, and sequestrations.
Ardha Ardea Prisilla +14 more
doaj +1 more source
Motion Artifact Detection in Confocal Laser Endomicroscopy Images
, 2018 Confocal Laser Endomicroscopy (CLE), an optical imaging technique allowing non-invasive examination of the mucosa on a (sub)cellular level, has proven to be a valuable diagnostic tool in gastroenterology and shows promising results in various anatomical ...
Aubreville, Marc +6 more
core +1 more source
Identifying person re-occurrences for personal photo management applications [PDF]
, 2006 Automatic identification of "who" is present in individual digital images within a photo management system using only content-based analysis is an extremely difficult problem.
Cooray, Saman H. +5 more
core +2 more sources
Geomatics, Natural Hazards & Risk, 2017 Impact craters help scientists to understand the geological history of planetary bodies. The aim of this paper is to improve the existing methodology for impact craters detection in images of planetary surfaces using a new approach based on morphological
Miriam Maria Pedrosa +3 more
doaj +1 more source
Sensors, 2019 There is no objective gold standard to detect tremors. This concerns not only the choice of the algorithm and sensors, but methods are often designed to detect tremors in one specific group of patients during the performance of a specific task. Therefore,
Frauke Luft +7 more
doaj +1 more source
Validation of an Automatic Arousal Detection Algorithm for Whole-Night Sleep EEG Recordings
Clocks & Sleep, 2020 Arousals during sleep are transient accelerations of the EEG signal, considered to reflect sleep perturbations associated with poorer sleep quality. They are typically detected by visual inspection, which is time consuming, subjective, and prevents good ...
Daphne Chylinski +12 more
doaj +1 more source
In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS
FEBS Letters, EarlyView.We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka +11 more
wiley +1 more source
Automatic Detection of Axes for Turning Parts
Journal of Machine EngineeringThis paper delves into a critical aspect of Computer-Aided Production Planning (CAPP): the automated detection of the main rotational axis in turning parts within Computer-Aided Drawings (CAD).
Martin Erler +2 more
doaj +1 more source
Automatic Detection of Welding Defects Using Faster R-CNN
Applied Sciences, 2020 In the shipbuilding industry, the non-destructive testing for welding quality inspection is mainly used for the permanent storage of the testing results and the radio-graphic testing which can visually inspect the interior of the welded part. Experts are
Sang-jin Oh +3 more
doaj +1 more source
Automatic Detection of Sfe: A Step Forward
Atmosphere, 2022 Solar flare effects (Sfe) are magnetic variations caused by solar flare events. They only show up in the illuminated hemisphere. Their detection is a difficult task because they do not have a definite pattern and, additionally, they must be separated ...
Juan José Curto Subirats +2 more
doaj +1 more source