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NRR Assessment: 3-D Extension and Other News
Posted on Sunday, May 07 @ 07:51:58 BST by admin
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An appearance model built from37 brains
±2.5 standards deviations shown
UR assessment framework, which can either evaluate non-rigid registration (NRR) algorithms or evaluate models of shape and intensity (appearance models), has been extended to 3-D. It requires no ground truth. Among other recent development, perhaps the most notable one is that which involves running some these algorithms the in 3-D to obtain encouraging, bug-free output. Due to the immense scale of this problem, true assessment of NRR in 3-D requires clusters, where the program can be easily deployed.
In other news, we are expecting to have our work included in an issue of IEEE Transactions in Medical Imaging. The initial reviews were very positive and we are running further experiments to alleviate any doubts.
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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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