TY - GEN
T1 - Geometric deformable model driven by CoCRFs
T2 - 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2008
AU - Tsechpenakis, Gabriel
AU - Lujan, Brandon
AU - Martinez, Oscar
AU - Gregori, Giovanni
AU - Rosenfeld, Philip J.
PY - 2008
Y1 - 2008
N2 - We present a geometric deformable model driven by dynamically updated probability fields. The shape is defined with the signed distance function, and the internal (smoothness) energy consists of a C 1 continuity constraint, a shape prior, and a term that forces the zero-level of the shape distance function towards a connected form. The image probability fields are estimated by our collaborative Conditional Random Field (CoCRF), which is updated during the evolution in an active learning manner: it infers class posteriors in pixels or regions with feature ambiguities by assessing the joint appearance of neighboring sites and using the classification confidence. We apply our method to Optical Coherence Tomography fundus images for the segmentation of geographic atrophies in dry age-related macular degeneration of the human eye.
AB - We present a geometric deformable model driven by dynamically updated probability fields. The shape is defined with the signed distance function, and the internal (smoothness) energy consists of a C 1 continuity constraint, a shape prior, and a term that forces the zero-level of the shape distance function towards a connected form. The image probability fields are estimated by our collaborative Conditional Random Field (CoCRF), which is updated during the evolution in an active learning manner: it infers class posteriors in pixels or regions with feature ambiguities by assessing the joint appearance of neighboring sites and using the classification confidence. We apply our method to Optical Coherence Tomography fundus images for the segmentation of geographic atrophies in dry age-related macular degeneration of the human eye.
UR - http://www.scopus.com/inward/record.url?scp=58849155181&partnerID=8YFLogxK
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U2 - 10.1007/978-3-540-85988-8_105
DO - 10.1007/978-3-540-85988-8_105
M3 - Conference contribution
C2 - 18979829
AN - SCOPUS:58849155181
SN - 354085987X
SN - 9783540859871
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 883
EP - 891
BT - Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008 - 11th International Conference, Proceedings
Y2 - 6 September 2008 through 10 September 2008
ER -