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As manual tumour delineation is time consuming, requires expertise and is prone to observer variation, automatic tools are preferable.
This increase the unreliability of process controllers and simulators since these automatic tools are usually based on a mathematical representation of the considered system, Alford [1].
Fully automatic tools are complemented with intuitive methods for interactive correction (Peng et al., 2011) and validation, greatly increasing the utility of new and existing algorithms.
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Automatic tools were developed for the estimation of the 3-D positioning of the ICRS.
The discriminatory ability of the automatic tool was improved by reviewing the mismatches, and this was confirmed in the larger validation cohort.
The automatic tool was an SAS program that retrieves all information necessary for APACHE IV calculation data from METRIC Data mart using SQL queries.
Additional automatic tools have been developed to characterize the ICRS implant, and the geometrical corneal changes following ICRS, all based on OCT imaging.
Based on Gene Ontology, a large number of automatic tools have been developed for the functional analysis and biological interpretation of the high-throughput microarray data.
Automatic auditing tools are used to discover and resolve possible errors [40, 41].
Therefore, automatic validation tools are needed urgently to uncover hidden problems in a binary translator.
We argue that automatic analysis tools are limited if they do not consider difficulty from the player point of view.
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