Segmentation Evaluation Load and view images and segmentations
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Segmentation Evaluation Ranking & Summary

Segmentation Evaluation Tags

viewer view image viewer segmentation

Segmentation Evaluation Description

Segmentation Evaluation was developed as an utility that enables medical experts to load and view local images and multiple segmentations. The software is based on Bayesian Decision Rule. The tool allows users to submit the segmentations to the server with the initial associated specificity and sensibility. The server computes and sends back to the users with a probabilistic estimate of the “true segmentation” (ground truth map) and performance measures for the individual segmentations (sensitivity and specificity). The strength of the tool is that it integrates the two kinds of prior knowledge of segmentations: the truth prior (the prior probability ) and the observer prior (the performance measures of observers). It can handle four different scenarios with differing application purposes: · with known truth prior; · with observer prior; · with neither truth prior nor observer prior; · with both truth prior and observer prior.

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