0000000000968042

AUTHOR

Bram Van Ginneken

0000-0003-2028-8972

showing 2 related works from this author

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
researchProduct

Extraction of Airways from CT (EXACT'09)

2012

Contains fulltext : 107854.pdf (Publisher’s version ) (Open Access) This paper describes a framework for establishing a reference airway tree segmentation, which was used to quantitatively evaluate fifteen different airway tree extraction algorithms in a standardized manner. Because of the sheer difficulty involved in manually constructing a complete reference standard from scratch, we propose to construct the reference using results from all algorithms that are to be evaluated. We start by subdividing each segmented airway tree into its individual branch segments. Each branch segment is then visually scored by trained observers to determine whether or not it is a correctly segmented part o…

Scanner[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingDatabases Factual[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/ImagingComputed tomographyAetiology screening and detection [ONCOL 5]02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing030218 nuclear medicine & medical imagingSet (abstract data type)03 medical and health sciences0302 clinical medicine[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0202 electrical engineering electronic engineering information engineeringMedicineHumansComputer visionSegmentationElectrical and Electronic EngineeringLung[ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/ImagingComputer. AutomationAnalysis of VarianceRadiological and Ultrasound Technologymedicine.diagnostic_testbusiness.industryPhysicsRangingImage segmentationComputer Science ApplicationsRadiographic Image EnhancementTrachea020201 artificial intelligence & image processingArtificial intelligenceTomographyAirwaybusinessTomography X-Ray ComputedEngineering sciences. TechnologyPoverty-related infectious diseases Aetiology screening and detection [N4i 3]Cardiovascular diseases Aetiology screening and detection [NCEBP 14][SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingSoftwareAlgorithms
researchProduct