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Segmenting Brain Tumors Using Pseudo–Conditional Random Fields
[chapter]
2008
Lecture Notes in Computer Science
Locating Brain tumor segmentation within MR (magnetic resonance) images is integral to the treatment of brain cancer. This segmentation task requires classifying each voxel as either tumor or nontumor, based on a description of that voxel. Unfortunately, standard classifiers, such as Logistic Regression (LR) and Support Vector Machines (SVM), typically have limited accuracy as they treat voxels as independent and identically distributed (iid ). Approaches based on random fields, which are able
doi:10.1007/978-3-540-85988-8_43
fatcat:kldyqdjsbjac7eeket6o2zp2ie