Sentence examples for validation of the image from inspiring English sources

Citation: Hanjoo Kim, Xin Lu, Michael Costa, Baris Kandemir, Reginald B. Adams, Jr., Jia Li, James Z. Wang and Michelle G. Newman, ''Development and Validation of the Image Stimuli for Emotion Elicitation (ISEE)," Association for Psychological Science Annual Convention, poster, New York City, May 2015.

A detailed description of the nanocosm test system including its construction as well as the procedure and validation of the image analysis technique is described elsewhere.

The present study included validation of the image-derived input function (Figure 1) and geometric spillover correction to obtain accurate quantitative data, similar to previous studies [38].

Before storing the reduced set of tie-points, a final validation of the points in the image space is performed.

In this paper, the second of a two-part series, we present a method for validation of the Moderate Resolution Imaging Spectroradiometer Leaf Area Index (MODIS LAI) product with emphasis on the sampling strategy for field data collection.

The use of the macroscopic surgical specimen for validation of PET image segmentation techniques is one of the most promising approaches reported so far for clinical studies [ 7, 8] provided deformation related to the shrinkage of the specimen after surgical excision are taken into account [ 9].

To achieve the benefit of accuracy, pathologists will have to assume an obligation of validation and quality assurance of the image analysis algorithms.

As an initial validation of the PET-template based image processing protocol, we applied it in a small cohort of patients.

Having shrivelled men pay for their company is a bizarre validation of the fun-loving, babydoll image these girls must pursue.

Since the validation of the use of digital images for diagnostic purpose in the field of indirect immunofluorescence [ 6], there has been research and industrial interest in developing CAD systems with applications in the fields of antinuclear antibodies (ANAs), anti-neutrophil antibodies, and CLIFT detection [ 7- 24].

Similar to the validation of image segmentation techniques, distance metrics are an essential means to validate model-based visualization techniques.