A supervised learning framework of statistical shape and probability priors for automatic prostate segmentation in ultrasound images.
about
Comparison and supervised learning of segmentation methods dedicated to specular microscope images of corneal endothelium.ProstateAnalyzer: Web-based medical application for the management of prostate cancer using multiparametric MR imaging.Segmentation of prostate from ultrasound images using level sets on active band and intensity variation across edges.Random Forest Segregation of Drug Responses May Define Regions of Biological Significance.Patient-specific model-based segmentation of brain tumors in 3D intraoperative ultrasound images.A region-based segmentation method for ultrasound images in HIFU therapy.Machine learning for medical ultrasound: status, methods, and future opportunities.MRI-alone radiation therapy planning for prostate cancer: Automatic fiducial marker detection.
P2860
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P2860
A supervised learning framework of statistical shape and probability priors for automatic prostate segmentation in ultrasound images.
description
2013 nî lūn-bûn
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2013年の論文
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2013年学术文章
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2013年学术文章
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name
A supervised learning framewor ...... entation in ultrasound images.
@en
A supervised learning framewor ...... entation in ultrasound images.
@nl
type
label
A supervised learning framewor ...... entation in ultrasound images.
@en
A supervised learning framewor ...... entation in ultrasound images.
@nl
prefLabel
A supervised learning framewor ...... entation in ultrasound images.
@en
A supervised learning framewor ...... entation in ultrasound images.
@nl
P2093
P50
P1476
A supervised learning framewor ...... mentation in ultrasound images
@en
P2093
Désiré Sidibé
Fabrice Meriaudeau
Jhimli Mitra
Josep Comet
Soumya Ghose
P304
P356
10.1016/J.MEDIA.2013.04.001
P577
2013-04-11T00:00:00Z