Results 211 to 220 of about 75,070 (261)
Accurate and noninvasive prostate cancer detection using plasma‐derived extracellular vesicle RNA
FEBS Open Bio, EarlyView.Plasma extracellular vesicles were captured with WGA‐conjugated magnetic beads and profiled for RNA biomarkers. A three‐RNA panel (NM_024955, NR_047469, and NR_002564) distinguished prostate cancer from healthy controls and benign prostatic hyperplasia, supporting a simple, noninvasive approach to improve prostate cancer detection.
Hanping Wei, Haoran Wu, Wei Feng
wiley +1 more source
Evolution‐guided yeast complementation reveals functional differences in human PSPH variants
FEBS Open Bio, EarlyView.Ancient genomes can help guide which human genetic variants are tested experimentally. This study applies that idea to PSPH, a gene involved in serine biosynthesis, and uses high‐throughput yeast complementation to compare variant function. The findings reveal measurable differences among selected alleles and illustrate the value of evolution‐guided ...
Mauricio Campa‐Álvarez +6 more
wiley +1 more source
FEBS Open Bio, EarlyView.Biophysical characterisation shows that NanX, a membrane transport protein from the major facilitator superfamily (MFS), forms both monomers and dimers after purification. AlphaFold modelling and substrate docking provide information on residues likely involved in substrate recognition for NanX and another MFS member, NanT.
Michael C. Newton‐Vesty +13 more
wiley +1 more source
In silico and in vitro exploration of a tyrosinase for biocatalytic production of catechols
FEBS Open Bio, EarlyView.Tyrosinase from Ralstonia pseudosolanacearum is a promising biocatalyst for producing valuable catechols from monophenol substrates. This tyrosinase is uniquely suited to this due to its high monophenolase : diphenolase ratio. We combined in silico docking and in vivo kinetic characterisation of this tyrosinase with 11 industrially relevant monophenols,
James Britton +6 more
wiley +1 more source
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International Journal of Computer Vision, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ganesh Sundaramoorthi +2 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ganesh Sundaramoorthi +2 more
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International Journal of Computer Vision, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Vicent Caselles +2 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Vicent Caselles +2 more
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Proceedings of the 2005 ACM symposium on Applied computing, 2005
This paper presents a variation of the classic algorithm of active contours in order to improve the visualization of 3D reconstruction of anatomical structures in medicine. This 3D reconstructions are made from the obtained contours. This variation of active contour enables a better behavior of them.Other authors have already used snakes (active ...
Francisco J. Guerrero +3 more
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This paper presents a variation of the classic algorithm of active contours in order to improve the visualization of 3D reconstruction of anatomical structures in medicine. This 3D reconstructions are made from the obtained contours. This variation of active contour enables a better behavior of them.Other authors have already used snakes (active ...
Francisco J. Guerrero +3 more
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2009 IEEE 12th International Conference on Computer Vision, 2009
Level sets and graph cuts are two state-of-the-art image segmentation methods in use today. The two methods are apparently different from each other not only because they originate from different theory foundations but also because they employ image information in different ways — level sets typically use image information in a point-wise way, whereas ...
Tan Shan, Ioannis A. Kakadiaris
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Level sets and graph cuts are two state-of-the-art image segmentation methods in use today. The two methods are apparently different from each other not only because they originate from different theory foundations but also because they employ image information in different ways — level sets typically use image information in a point-wise way, whereas ...
Tan Shan, Ioannis A. Kakadiaris
openaire +1 more source
IEEE Transactions on Image Processing, 1999
We use an unconditionally stable numerical scheme to implement a fast version of the geodesic active contour model. The proposed scheme is useful for object segmentation in images, like tracking moving objects in a sequence of images. The method is based on the Weickert-Romeney-Viergever (additive operator splitting) AOS scheme.
Roman Goldenberg +3 more
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We use an unconditionally stable numerical scheme to implement a fast version of the geodesic active contour model. The proposed scheme is useful for object segmentation in images, like tracking moving objects in a sequence of images. The method is based on the Weickert-Romeney-Viergever (additive operator splitting) AOS scheme.
Roman Goldenberg +3 more
openaire +2 more sources
Intracranial contour extraction with active contour models
Journal of Magnetic Resonance Imaging, 1997AbstractA novel image processing scheme for extracting the intracranial contours in axial magnetic resonance data sets is proposed. The scheme incorporates the method of active contour models, a recently introduced paradigm for contour extraction. Its performance is nearly ideal for T2‐weighted images.
S, Matsumoto +3 more
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