The phrase "accuracy of small" is not correct and does not convey a clear meaning in written English.
It may be intended to refer to the accuracy of small measurements or small-scale data, but as it stands, it lacks clarity and context.
Example: "The accuracy of small measurements is crucial in scientific experiments."
Alternatives: "precision of minor" or "correctness of small-scale".
In clinical reality, this should result in better detection and improved quantitative accuracy of small lesions.
To evaluate the diagnostic accuracy of small intestine contrast ultrasonography (SICUS) in pediatric Crohn's disease (CD).
In order to improve the efficiency and accuracy of small animal measurements, we have developed a biomagnetism measurement system suitable for small animals.
While improving the SNR and, therefore, facilitating identification and delineation of sufficiently large low intensity structures, these filters at the same time reduce the spatial resolution of the images, thus deteriorating detectability and quantification accuracy of small lesions.
This reference compound is labeled to a very high extent (>99%), which further enhances quantification accuracy of small amounts of hmC allowing us to determine the content of hmC in any tissue very precisely.
Evidently, this undermines the P-value accuracy of small terms (meaning terms with few entities), which are biologically most specific.
A mismatch of a few millimetres is already a big error for image registration in small-animal imaging: e.g. Ji et al. [31] showed that when using a proper calibration method for co-registration and a special bed mounting interface, the accuracy of small-animal SPECT-CT registration can reach sub-millimetre accuracy without using extra markers.
Wang et al. [24] reported development of a single cell manipulation tool integrating microfluidic technology with optical tweezers for high accuracy sorting of small cell populations (see Fig. 8).
Computer simulations are shown to validate the great adaptability of the sea-sky horizon line detection and the accuracy of the small targets detection.
It is difficult to maintain the accuracy of the small coefficient and to prevent the order of magnitude of weights from overflowing simultaneously, as the ratio of two weights in the steady state is very large.
Accuracy of the small student DNN was greatly improved when the set of untranscribed data was increased further with data from the Fisher corpus, giving relative reductions in WER of 8.2 and 11.2 %.
