On active contour models and balloons
CVGIP: Image Understanding
Shape Modeling with Front Propagation: A Level Set Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
An introduction to genetic algorithms
An introduction to genetic algorithms
International Journal of Computer Vision
A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model
International Journal of Computer Vision
Evolving edge detectors with genetic programming
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
Programmatic compression of images and sound
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
IEEE Transactions on Image Processing
Characteristics Preserving of Ultrasound Medical Images Based on Kernel Principal Component Analysis
Medical Imaging and Informatics
Genetic programming based image segmentation with applications to biomedical object detection
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Medical image segmentation using genetic algorithms
IEEE Transactions on Information Technology in Biomedicine
Automatic segmentation of bladder and prostate using coupled 3D deformable models
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Euro-Par 2010 Proceedings of the 2010 conference on Parallel processing
Learning image context for segmentation of prostate in CT-guided radiotherapy
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part III
EvoApplicatons'10 Proceedings of the 2010 international conference on Applications of Evolutionary Computation - Volume Part I
Image segmentation using fuzzy logic, neural networks and genetic algorithms: survey and trends
Machine Graphics & Vision International Journal
High-Throughput-Screening of medical image data on heterogeneous clusters
LSSC'11 Proceedings of the 8th international conference on Large-Scale Scientific Computing
A genetic algorithm for color image segmentation
EvoApplications'13 Proceedings of the 16th European conference on Applications of Evolutionary Computation
Segmentation of histological images using a metaheuristic-based level set approach
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Particle Swarm Optimization and Differential Evolution for model-based object detection
Applied Soft Computing
Genetic algorithms as a useful tool for trabecular and cortical bone segmentation
Computer Methods and Programs in Biomedicine
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Segmentation of medical images is challenging due to poor image contrast and artifacts that result in missing or diffuse organ/tissue boundaries. Consequently, this task involves incorporating as much prior information as possible (e.g., texture, shape, and spatial location of organs) into a single framework. In this paper, we present a genetic algorithm for automating the segmentation of the prostate on two-dimensional slices of pelvic computed tomography (CT) images. In this approach the segmenting curve is represented using a level set function, which is evolved using a genetic algorithm (GA). Shape and textural priors derived from manually segmented images are used to constrain the evolution of the segmenting curve over successive generations.We review some of the existing medical image segmentation techniques. We also compare the results of our algorithm with those of a simple texture extraction algorithm (Laws' texture measures) as well as with another GA-based segmentation tool called GENIE. Our preliminary tests on a small population of segmenting contours show promise by converging on the prostate region. We expect that further improvements can be achieved by incorporating spatial relationships between anatomical landmarks, and extending the methodology to three dimensions.