A comparative review of optimisation techniques in segmentation of brain MR images
Parvathaneni Naga Srinivasu, T. Srinivasa Rao, Anca Dicu, Corina Mnerie, Iustin Olariu
Abstract
MRI image segmentation, a challenging task in medical diagnostics aids in extracting the summarized information of the anatomy of the human brain, thereby offering the potentiality for accurate treatment of the disease. The purpose of this work is to elevate the performances of different optimization techniques that are used in automated segmentation procedures. The performance of four algorithms was evaluated quantitatively over the genetic algorithm-based segmentation, which is the prevailing approach in automated segmentation. The upshot exhibits the accuracy and performance of various optimization techniques with a genetic algorithm.
Topics & Concepts
SegmentationComputer scienceArtificial intelligenceImage segmentationTask (project management)Pattern recognition (psychology)Computer visionScale-space segmentationMachine learningEconomicsManagementMedical Image Segmentation TechniquesBrain Tumor Detection and ClassificationImage Retrieval and Classification Techniques