Classifier selection strategies for label fusion using large atlas databases

• Published in: Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Vol. 10; no. Pt 1; p. 523
• Main Authors: Aljabar, P, Heckemann, R, Hammers, A, Hajnal, J V, Rueckert, D
• Format: Journal Article
• Language: English
• Published: Germany 2007
• Subjects: Algorithms; Artificial Intelligence; Brain - anatomy & histology; Databases, Factual; Humans; Image Enhancement - methods; Image Interpretation, Computer-Assisted - methods; Imaging, Three-Dimensional - methods; Information Storage and Retrieval - methods; Magnetic Resonance Imaging - methods; Pattern Recognition, Automated - methods; Reproducibility of Results; Sensitivity and Specificity; Subtraction Technique

Structural segmentations of brain MRI can be generated by propagating manually labelled atlas images from a repository to a query subject and combining them. This method has been shown to be robust, consistent and increasingly accurate with increasing numbers of classifiers. It outperforms standard...