Sentence examples for abnormality tracking from inspiring English sources

The phrase "abnormality tracking" is correct and usable in written English.
It can be used in contexts related to monitoring or observing unusual patterns or behaviors, often in fields like healthcare, psychology, or data analysis.
Example: "The researchers implemented a system for abnormality tracking to identify any significant deviations in patient health metrics."
Alternatives: "anomaly monitoring" or "irregularity tracking".

Exact(1)

The main cause of failure in algorithmic GI abnormality tracking is the lack of distinguishable features in an abnormality target region.

Similar(59)

TP-10 treatment slowed the development of the hind-limb clasping reflex, a neurological abnormality that tracks disease progression [3], [35] [37], and also reduced deficits in rotarod performance and in open field activity.

We proposed a method for tracking areas with abnormalities in an image sequence from capsule endoscopy.

Valuable information such as the occurrences of EEG abnormalities can be extracted through tracking the changes in the rate of innovation across the EEG.

By applying triangular constraints using an affine transformation, we are able to track abnormalities that do not have distinctive features over consecutive image frames.

Aided by new brain imaging techniques, they have begun tracking such hallucinations back to abnormalities in the brain, finding that certain brain regions "light up" on brain scans when patients are actively hallucinating.

Despite the excitement about recent advances in the identification of AD-related biomarkers, neuropsychological assessment remains a critical component of evaluation to ensure a cognitive correlate of biomarker abnormalities and to assist in detecting and tracking progression of early AD.

In conclusion, the proposed method is able to track an abnormality even if motion displacement is large and the abnormality is indistinguishable.

Figure 10 demonstrates our ability to track an abnormality, even when there are large movements in the background scene, and when the appearance of the abnormality is difficult to detect with the naked eye.

There is clearly a need to be able to automatically track the abnormality.

Despite irregular movements during the capture of these sequences, the proposed method successfully tracked the abnormality.

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