Patient specific prostate segmentation in 3-d magnetic resonance images.

scientific article published on 2 August 2012

Patient specific prostate segmentation in 3-d magnetic resonance images. is …
instance of (P31):
scholarly articleQ13442814

External links are
P8978DBLP publication IDjournals/tmi/ChandraDSRPGSF12
P356DOI10.1109/TMI.2012.2211377
P698PubMed publication ID22875243

P50authorParnesh RanigaQ43062480
Jurgen FrippQ43062495
Olivier SalvadoQ43062503
Jason A DowlingQ50916520
Shekhar S. ChandraQ51335303
Peter B GreerQ57071559
Kai-Kai ShenQ84755412
P2093author name stringJosien P W Pluim
P433issue10
P921main subjectpatientQ181600
P304page(s)1955-1964
P577publication date2012-08-02
P1433published inIEEE Transactions on Medical ImagingQ15751775
P1476titlePatient specific prostate segmentation in 3-d magnetic resonance images
P478volume31

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cites work (P2860)
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Q27004458Computer aided-diagnosis of prostate cancer on multiparametric MRI: a technical review of current research
Q40191298Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching
Q34065836Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challenge
Q50515520MRI-alone radiation therapy planning for prostate cancer: Automatic fiducial marker detection.
Q48227019Multi-atlas and unsupervised learning approach to perirectal space segmentation in CT images
Q40903502Prostate contours delineation using interactive directional active contours model and parametric shape prior model.
Q37353335Sparse patch-based label propagation for accurate prostate localization in CT images
Q40152318Superpixel-Based Segmentation for 3D Prostate MR Images.
Q45765931The use of an active appearance model for automated prostate segmentation in magnetic resonance
Q57719723The use of atlas registration and graph cuts for prostate segmentation in magnetic resonance images
Q38564591Visual saliency-based active learning for prostate magnetic resonance imaging segmentation

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