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    Specificity, Generalisation and Registration
    Posted on Thursday, August 18 @ 03:43:51 UTC by admin

    Technical Notes e currently work on heavy and extensive experiments where registration gets evaluated using models of appearance. Models of the brains are built from progressively eroded registration and from these models we derive Specificity and Generalisability (Generalisation ability) values. The figures below show that our method successfully discerns good registration from a worse one within a wide range of deformations (perturbations) of the correct solution. Lower values indicate a better registration. 4 types of shuffle distances (including the Euclidean distance) are used in the process. It is worth pointing out that our method requires no ground truth to be provided for evaluation and it was shown to be tightly-correlated to overlap-based measures, which require manual segmentation of data labels.



    See related paper:
    Carole Twining, Tim Cootes, Stephen Marsland, Vladimir Petrovic, Roy Schestowitz, and Chris Taylor. A Unified Information-Theoretic Approach to Groupwise Non-Rigid Registration and Model Building. Presented in Information Processing in Medical Images (IPMI), Lecture Notes in Computer Science, vol. 3565, pp. (PDF, BibTeX)

    Associated Topics

    ExplanationsImplementationTechnical Notes

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    Old Articles
    Wednesday, October 19
    · Registration Assessment Without Ground Truth Proven Most Sensitive
    Thursday, September 15
    · Registration Without Ground-Truth Solution - Proof of Concept/Empirical Evidence
    Friday, September 02
    · FTP Access or a ZIP Archive
    Wednesday, August 24
    · Registration: Tanimoto Overlap and Model-based Evaluation
    Thursday, August 18
    · Specificity, Generalisation and Registration
    Monday, July 25
    · Placing Labels at Strong Edges
    Tuesday, July 19
    · Model Construction and Registration in Medical Imaging
    Thursday, July 14
    · Euclidean Image Distance
    Thursday, July 07
    · Evaluation of Appearance Models
    Tuesday, July 05
    · Parallel Work
    Monday, July 04
    · Label Propagation
    Sunday, July 03
    · Segmentation Propagation from Model
    Friday, July 01
    · Segmentation in Relation to Models and NRR
    · Mean of Squared Differences (MSD) Unstable at Registration
    Thursday, June 30
    · 3-D Surface Visualisation
    · Migration of Code
    · MIAS-IRC and MARS
    Wednesday, June 29
    · Simultaneous Segmentation, Registration and Models
    · Migration from AART to MARS

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