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An image as stored on a picture archiving and communication system (PACS) The same image following contrast adjustment, sharpening and measurement tags added by the system A picture archiving and communication system ( PACS ) is a medical imaging technology which provides economical storage and convenient access to images from multiple ...
Also written as lub, which stands for least upper bound.) supp – support of a function. swish – swish function, an activation function in data analysis. Sym – symmetric group (Sym(n) is also written as S n) or symmetric algebra.
PACS is an acronym with several meanings: Medicine. Post-Acute COVID-19 Syndrome; Partial Anterior Circulation Stroke Syndrome, the symptoms of a type of an ...
Abbreviation of "therefore". Placed between two assertions, it means that the first one implies the second one. For example: "All humans are mortal, and Socrates is a human. ∴ Socrates is mortal." ∵ Abbreviation of "because" or "since". Placed between two assertions, it means that the first one is implied by the second one.
An abbreviation for logical equivalence of statements. in general In the context of proofs, this phrase is often seen in induction arguments when passing from the base case to the induction step, and similarly, in the definition of sequences whose first few terms are exhibited as examples of the formula giving every term of the sequence.
The Physics and Astronomy Classification Scheme (PACS) is a scheme developed in 1970 [1] by the American Institute of Physics (AIP) for classifying scientific literature using a hierarchical set of codes. [2] PACS has been used by over 160 international journals, [1] including the Physical Review series since 1975.
initialism = an abbreviation pronounced wholly or partly using the names of its constituent letters, e.g., CD = compact disc, pronounced cee dee; pseudo-blend = an abbreviation whose extra or omitted letters mean that it cannot stand as a true acronym, initialism, or portmanteau (a word formed by combining two or more words).
In computational learning theory, probably approximately correct (PAC) learning is a framework for mathematical analysis of machine learning. It was proposed in 1984 by Leslie Valiant . [ 1 ]