0000000000968035

AUTHOR

Filip Malmberg

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Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge

2014

Contains fulltext : 137969.pdf (Publisher’s version ) (Open Access) Prostate MRI image segmentation has been an area of intense research due to the increased use of MRI as a modality for the clinical workup of prostate cancer. Segmentation is useful for various tasks, e.g. to accurately localize prostate boundaries for radiotherapy or to initialize multi-modal registration algorithms. In the past, it has been difficult for research groups to evaluate prostate segmentation algorithms on multi-center, multi-vendor and multi-protocol data. Especially because we are dealing with MR images, image appearance, resolution and the presence of artifacts are affected by differences in scanners and/or …

MaleScannerObserver (quantum physics)Computer scienceHealth InformaticsSensitivity and SpecificityArticleProstate cancerSegmentationImaging Three-DimensionalRobustness (computer science)Image Interpretation Computer-AssistedmedicineHumansRadiology Nuclear Medicine and imagingSegmentationChallengeProtocol (science)Modality (human–computer interaction)Radiological and Ultrasound TechnologyProstateProstatic NeoplasmsReproducibility of ResultsReference Standardsmedicine.diseaseImage EnhancementComputer Graphics and Computer-Aided DesignMagnetic Resonance ImagingActive appearance modelUrological cancers Radboud Institute for Health Sciences [Radboudumc 15]Computer Vision and Pattern RecognitionArtifactsAlgorithmAlgorithmsRare cancers Radboud Institute for Health Sciences [Radboudumc 9]MRI
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