Automatic magnetic resonance prostate segmentation by deep learning with holistically nested networks

Accurate automatic segmentation of the prostate in magnetic resonance images (MRI) is a challenging task due to the high variability of prostate anatomic structure. Artifacts such as noise and similar signal intensity of tissues around the prostate boundary inhibit traditional segmentation methods f...

Disgrifiad llawn

Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Cyhoeddwyd yn:J Med Imaging (Bellingham)
Prif Awduron: Cheng, Ruida, Roth, Holger R., Lay, Nathan, Lu, Le, Turkbey, Baris, Gandler, William, McCreedy, Evan S., Pohida, Tom, Pinto, Peter A., Choyke, Peter, McAuliffe, Matthew J., Summers, Ronald M.
Fformat: Artigo
Iaith:Inglês
Cyhoeddwyd: Society of Photo-Optical Instrumentation Engineers 2017
Pynciau:
Special Section on Radiomics and Deep Learning
Mynediad Ar-lein:https://ncbi.nlm.nih.gov/pmc/articles/PMC5565676/
https://ncbi.nlm.nih.gov/pubmed/28840173
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.4.4.041302
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