Results 181 to 190 of about 2,635,657 (307)
Level set method for biomedical images
74 p.The introduction of advanced imaging technologies has increased the number of images that a clinician or biologist has to handle. These imaging technologies are used for a variety of applications such as image guided surgery, image - based diagnosis,
Annamalai Lakshmanan
core
Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source
Piecewise Acoustic Source Imaging with Unknown Speed of Sound Using a Level-Set Method. [PDF]
Huang G, Qian J, Yang Y.
europepmc +1 more source
Shape-based reconstruction of dynamic fluorescent yield with a level set method. [PDF]
Zhang X, Zhang J, Bai J, Luo J.
europepmc +1 more source
Stochastic Topology Optimization Based on Level-Set Method
The level-set method has been shown suitable for topology optimization because it can find optimal shapes with smooth boundaries and non-porous material regions. In the level-set method, however, optimization is conducted based on the gradient method.
Igarashi, Hajime +3 more
core
In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge +17 more
wiley +1 more source
Automatic Four-Chamber Segmentation Using Level-Set Method and Split Energy Function. [PDF]
Kang HC, Lee J, Shin J.
europepmc +1 more source
Meshfitting for the Level-set Method
In applying the level-set method in the context of a finite-element method, errors can be minimized by adjusting the mesh to the shape of the level-set curve.
Wortelboer, Timo (author)
core
Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel +6 more
wiley +1 more source
[A multi-label fusion based level set method for multiple sclerosis lesion segmentation]. [PDF]
Gong Z +6 more
europepmc +1 more source

