Sentence examples for classification of imaging from inspiring English sources

First, as stated previously, the classification of imaging results into positive or negative is an oversimplification of clinical practice.

A possible explanation for this discrepancy is the fact that the classification of imaging results into positive or negative is an oversimplification of clinical practice.

The BI-RADS® classification (breast imaging reporting and data system) of the ACR American College of Radiologyy) provides a standardised classification of imaging findings according to the likelihood of malignancy.

These data support the feasibility of multiinstitutional classification of radiologic imaging text reports with a single machine learning classifier without requiring institution-specific training data.

However, the current FIGO classification acknowledges the use of imaging methods as an adjunct for cervical cancer staging, and a number of studies have shown that imaging, especially MRI, is superior to clinical examination alone for correctly evaluating cervical carcinoma stage [3, 4, 5, 6, 7].

Although individual features may differ subtly between TCFA and other fibroatheroma on VH-IVUS and OCT, plaque classification uses a combination of imaging features to define plaque type as compared with standard histological definitions.

Furthermore, another objective was to assess the relative importance of imaging modalities in classification of A β+/A β− early MCI.

As a secondary goal, we assessed the relative importance of imaging modalities in classification of F-AV45-positive versus F-AV45-negative early-MCI individuals.

Results indicate the general feasibility of CNN-based computer-aided systems for diagnosis and classification of images generated by medical imaging systems.

Zarogianni, E., Moorhead, T. W. & Lawrie, S. M. Towards the identification of imaging biomarkers in schizophrenia, using multivariate pattern classification at a single-subject level.

The main purpose of imaging algorithms is to achieve enough resolution to make the classification step easy.