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Conference Paper: Developments of Unet, Unet plus Conditional Random Field Insert, and Bayesian Vnet CNNs for Zonal Prostate Segmentation

TitleDevelopments of Unet, Unet plus Conditional Random Field Insert, and Bayesian Vnet CNNs for Zonal Prostate Segmentation
Authors
Cao, PNoworolsk, SKramer, SPedoia, VWestphalen, ALarson, P
Issue Date2019
PublisherInternational Society for Magnetic Resonance in Medicine.
Citation
The 27th Annual Meeting & Exhibition of International Society for Magnetic Resonance in Medicine (ISMRM), Montreal, Canada, 11-16 May 2019 How to Cite?
AbstractWe studied 2d and 3d fully convolutional neural network for zonal prostate segmentation from T2 weighted MRI data. We also introduce a new methodology that combines Unet and conditional random field insert (CRFI) to improve the accuracy and robustness of the segmentation.
DescriptionDigital Poster Session: Body: Breast, Chest, Abdomen, Pelvis: Prostate MRI: Technical Developments - no. 1619
Persistent Identifierhttp://hdl.handle.net/10722/275252

 

DC FieldValueLanguage
dc.contributor.authorCao, P-
dc.contributor.authorNoworolsk, S-
dc.contributor.authorKramer, S-
dc.contributor.authorPedoia, V-
dc.contributor.authorWestphalen, A-
dc.contributor.authorLarson, P-
dc.date.accessioned2019-09-10T02:38:45Z-
dc.date.available2019-09-10T02:38:45Z-
dc.date.issued2019-
dc.identifier.citationThe 27th Annual Meeting & Exhibition of International Society for Magnetic Resonance in Medicine (ISMRM), Montreal, Canada, 11-16 May 2019-
dc.identifier.urihttp://hdl.handle.net/10722/275252-
dc.descriptionDigital Poster Session: Body: Breast, Chest, Abdomen, Pelvis: Prostate MRI: Technical Developments - no. 1619-
dc.description.abstractWe studied 2d and 3d fully convolutional neural network for zonal prostate segmentation from T2 weighted MRI data. We also introduce a new methodology that combines Unet and conditional random field insert (CRFI) to improve the accuracy and robustness of the segmentation.-
dc.languageeng-
dc.publisherInternational Society for Magnetic Resonance in Medicine. -
dc.relation.ispartofISMRM (International Society for Magnetic Resonance in Medicine) 27th Annual Meeting, 2019-
dc.titleDevelopments of Unet, Unet plus Conditional Random Field Insert, and Bayesian Vnet CNNs for Zonal Prostate Segmentation-
dc.typeConference_Paper-
dc.identifier.emailCao, P: caopeng1@hku.hk-
dc.identifier.authorityCao, P=rp02474-
dc.identifier.hkuros304761-
dc.publisher.placeUnited States-

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