Results 111 to 120 of about 14,780,830 (367)
The medial axis transform is a well-known tool for shape recognition. Instead of the object contour, it equivalently describes a binary object in terms of a skeleton containing all centres of maximal inscribed discs. While this shape descriptor is useful for many applications, it is also sensitive to noise: Small boundary perturbations can result in ...
Julia Gierke, Pascal Peter
openaire +2 more sources
In prostate carcinoma, lactic acid, secreted by highly glycolytic cancer‐associated fibroblasts, is imported into tumor cells through the MCT1 transporter and prevents RSL3 and erastin‐induced ferroptosis (A). Targeting of carbonic anhydrase IX/XII, the main extracellular pH regulators, in tumor and stromal cells reduces microenvironmental acidosis and
Elisa Pardella+18 more
wiley +1 more source
By combining data from the Challenging Minisatellite Payload (CHAMP), Swarm-A, and newest Macau Science Satellite-1 (MSS-1) missions, we constructed a lithospheric magnetic field model up to spherical harmonic degree N = 100.
JiaXuan Zhang+5 more
doaj +1 more source
A network for multiscale image segmentation [PDF]
Detecting edges of objects in their images is a basic problem in computational vision. The scale-space technique introduced by Witkin [11] provides means of using local and global reasoning in locating edges.
Malik, Jitendra, Perona, Pietro
core
Image Matching Using Generalized Scale-Space Interest Points
The performance of matching and object recognition methods based on interest points depends on both the properties of the underlying interest points and the choice of associated image descriptors.
Tony Lindeberg
semanticscholar +1 more source
Understanding and measuring mechanical signals in the tumor stroma
This review discusses cancer‐associated fibroblast subtypes and their functions, particularly in relation to extracellular matrix production, as well as the development of 3D models to study tumor stroma mechanics in vitro. Several quantitative techniques to measure tissue mechanical properties are also described, to emphasize the diagnostic and ...
Fàtima de la Jara Ortiz+3 more
wiley +1 more source
Modeling the large-scale redshift-space 3-point correlation function of galaxies
We present a configuration-space model of the large-scale galaxy 3-point correlation function (3PCF) based on leading-order perturbation theory and including redshift space distortions (RSD).
Eisenstein, Daniel J., Slepian, Zachary
core +1 more source
We generated and characterized clear cell renal cell carcinoma models using the patient‐derived RCC243 cell line—including cell culture, orthotopic, and metastatic tumors—via single‐cell RNA‐sequencing for comparisons between models and patient tumor datasets.
Richard Huang+9 more
wiley +1 more source
Derivatives in scale space [PDF]
Various derivatives (1st to 4th order) describe different signal characters in scale space: the first derivative represents signal variation which can be used for coding; the second derivative characterizes the size of signal local structure and can be used for adaptive smoothing; the third and fourth order derivatives relate zero-crossing(or other ...
Songde Ma, Cong Ge
openaire +2 more sources
Stem cell‐based embryo models (SCBEMs) are valuable to study early developmental milestones. Matrigel, a basement membrane matrix, is a critical substrate used in various SCBEM protocols, but its role in driving stem cell lineage commitment is not clearly defined.
Atoosa Amel+3 more
wiley +1 more source