1,534 research outputs found
Improved Abdominal Multi-Organ Segmentation via 3D Boundary-Constrained Deep Neural Networks
Quantitative assessment of the abdominal region from clinically acquired CT
scans requires the simultaneous segmentation of abdominal organs. Thanks to the
availability of high-performance computational resources, deep learning-based
methods have resulted in state-of-the-art performance for the segmentation of
3D abdominal CT scans. However, the complex characterization of organs with
fuzzy boundaries prevents the deep learning methods from accurately segmenting
these anatomical organs. Specifically, the voxels on the boundary of organs are
more vulnerable to misprediction due to the highly-varying intensity of
inter-organ boundaries. This paper investigates the possibility of improving
the abdominal image segmentation performance of the existing 3D encoder-decoder
networks by leveraging organ-boundary prediction as a complementary task. To
address the problem of abdominal multi-organ segmentation, we train the 3D
encoder-decoder network to simultaneously segment the abdominal organs and
their corresponding boundaries in CT scans via multi-task learning. The network
is trained end-to-end using a loss function that combines two task-specific
losses, i.e., complete organ segmentation loss and boundary prediction loss. We
explore two different network topologies based on the extent of weights shared
between the two tasks within a unified multi-task framework. To evaluate the
utilization of complementary boundary prediction task in improving the
abdominal multi-organ segmentation, we use three state-of-the-art
encoder-decoder networks: 3D UNet, 3D UNet++, and 3D Attention-UNet. The
effectiveness of utilizing the organs' boundary information for abdominal
multi-organ segmentation is evaluated on two publically available abdominal CT
datasets. A maximum relative improvement of 3.5% and 3.6% is observed in Mean
Dice Score for Pancreas-CT and BTCV datasets, respectively.Comment: 15 pages, 16 figures, journal pape
Comparison of different methods for liquid level adjustment in tank prover calibration
The adjustment of the liquid level during the calibration of tank provers with fixed volume is normally done by overfill but it can be done in different ways. In this article four level adjustment techniques are compared: plate, pipette, ruler and overfill adjustment. The adjustment methods using plate and pipette presented good agreement with the tankâs nominal volume and lower uncertainty among the tested methods.IndisponĂvel
Occupational stress in health professionals: a study with Portuguese Nurses
Este trabalho analisa o estresse ocupacional em 286 enfermeiros de hospitais e centros de saĂșde portugueses. Avaliaram-se as fontes de estresse, o burnout, os problemas de saĂșde fĂsica, a satisfação e a realização profissional. Os resultados apontaram 30% de enfermeiros com experiĂȘncias significativas de estresse e 15% com problemas de exaustĂŁo emocional. As anĂĄlises de regressĂŁo mĂșltipla apontaram maior capacidade preditiva das dimensĂ”es de estresse na exaustĂŁo emocional, na saĂșde fĂsica, na satisfação e na realização profissional. As anĂĄlises comparativas evidenciaram maiores problemas de stresse e reacçÔes mais negativas ao trabalho nas mulheres, nos enfermeiros mais novos e com menor experiĂȘncia, nos trabalhadores com contratos a prazo, nos profissionais que realizam trabalho por turnos e nos que trabalham mais horas.This work analyses occupational stress in 286 nurses from hospitals and health care centres in Portugal. The
following dimensions were evaluated: stress, burnout, physical health problems, satisfaction and professional fulfilment.
Results revealed significant stress experiences in 30% of the professionals, and emotional exhaustion problems in 15%.
Multiple regression analysis pointed out stress as an important predictor of emotional exhaustion, physical health, satisfaction
and professional fulfilment. Comparative analysis suggested more occupational stress and professional negative experiences
in the following groups: female nurses, younger and less experienced nurses, those with short-term working contracts, nurses
working on a shift-basis system, and nurses working during long hours.(undefined
First narrow-band search for continuous gravitational waves from known pulsars in advanced detector data
Spinning neutron stars asymmetric with respect to their rotation axis are potential sources of
continuous gravitational waves for ground-based interferometric detectors. In the case of known pulsars a
fully coherent search, based on matched filtering, which uses the position and rotational parameters
obtained from electromagnetic observations, can be carried out. Matched filtering maximizes the signalto-
noise (SNR) ratio, but a large sensitivity loss is expected in case of even a very small mismatch
between the assumed and the true signal parameters. For this reason, narrow-band analysis methods have
been developed, allowing a fully coherent search for gravitational waves from known pulsars over a
fraction of a hertz and several spin-down values. In this paper we describe a narrow-band search of
11 pulsars using data from Advanced LIGOâs first observing run. Although we have found several initial
outliers, further studies show no significant evidence for the presence of a gravitational wave signal.
Finally, we have placed upper limits on the signal strain amplitude lower than the spin-down limit for 5 of
the 11 targets over the bands searched; in the case of J1813-1749 the spin-down limit has been beaten for
the first time. For an additional 3 targets, the median upper limit across the search bands is below the
spin-down limit. This is the most sensitive narrow-band search for continuous gravitational waves carried
out so far
Observation of an Excited Bc+ State
Using pp collision data corresponding to an integrated luminosity of 8.5 fb-1 recorded by the LHCb experiment at center-of-mass energies of s=7, 8, and 13 TeV, the observation of an excited Bc+ state in the Bc+Ï+Ï- invariant-mass spectrum is reported. The observed peak has a mass of 6841.2±0.6(stat)±0.1(syst)±0.8(Bc+) MeV/c2, where the last uncertainty is due to the limited knowledge of the Bc+ mass. It is consistent with expectations of the Bcâ(2S31)+ state reconstructed without the low-energy photon from the Bcâ(1S31)+âBc+Îł decay following Bcâ(2S31)+âBcâ(1S31)+Ï+Ï-. A second state is seen with a global (local) statistical significance of 2.2Ï (3.2Ï) and a mass of 6872.1±1.3(stat)±0.1(syst)±0.8(Bc+) MeV/c2, and is consistent with the Bc(2S10)+ state. These mass measurements are the most precise to date
Bose-Einstein correlations of same-sign charged pions in the forward region in pp collisions at âs=7 TeV
Bose-Einstein correlations of same-sign charged pions, produced in protonproton collisions at a 7 TeV centre-of-mass energy, are studied using a data sample collected
by the LHCb experiment. The signature for Bose-Einstein correlations is observed in the
form of an enhancement of pairs of like-sign charged pions with small four-momentum
difference squared. The charged-particle multiplicity dependence of the Bose-Einstein correlation parameters describing the correlation strength and the size of the emitting source
is investigated, determining both the correlation radius and the chaoticity parameter. The
measured correlation radius is found to increase as a function of increasing charged-particle
multiplicity, while the chaoticity parameter is seen to decreas
Measurement of the inelastic pp cross-section at a centre-of-mass energy of 13TeV
The cross-section for inelastic proton-proton collisions at a centre-of-mass energy of 13TeV is measured with the LHCb detector. The fiducial cross-section for inelastic interactions producing at least one prompt long-lived charged particle with momentum p > 2 GeV/c in the pseudorapidity range 2 < η < 5 is determined to be Ï acc = 62:2 ± 0:2 ± 2:5mb. The first uncertainty is the intrinsic systematic uncertainty of the measurement, the second is due to the uncertainty on the integrated luminosity. The statistical uncertainty is negligible. Extrapolation to full phase space yields the total inelastic proton-proton cross-section Ï inel = 75:4 ± 3:0 ± 4:5mb, where the first uncertainty is experimental and the second due to the extrapolation. An updated value of the inelastic cross-section at a centre-of-mass energy of 7TeV is also reported
Comparison of in silico strategies to prioritize rare genomic variants impacting RNA splicing for the diagnosis of genomic disorders
The development of computational methods to assess pathogenicity of pre-messenger RNA splicing variants is critical for diagnosis of human disease. We assessed the capability of eight algorithms, and a consensus approach, to prioritize 249 variants of uncertain significance (VUSs) that underwent splicing functional analyses. The capability of algorithms to differentiate VUSs away from the immediate splice site as being 'pathogenic' or 'benign' is likely to have substantial impact on diagnostic testing. We show that SpliceAI is the best single strategy in this regard, but that combined usage of tools using a weighted approach can increase accuracy further. We incorporated prioritization strategies alongside diagnostic testing for rare disorders. We show that 15% of 2783 referred individuals carry rare variants expected to impact splicing that were not initially identified as 'pathogenic' or 'likely pathogenic'; one in five of these cases could lead to new or refined diagnoses
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