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Integration of Deep Learning and Active Shape Models for More Accurate Prostate Segmentation in 3D MR Images.

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第一作者： Massimo,Salvi

第一单位： Biolab, PolitoBIOMed Lab, Department of Electronics and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy.

作者： Massimo,Salvi ^[1] ; Bruno,De Santi ^[2] ; Bianca,Pop ^[1] ; Martino,Bosco ^[3] ; Valentina,Giannini ^[4] ; Daniele,Regge ^[4] ; Filippo,Molinari ^[1] ; Kristen M,Meiburger ^[1]

作者单位： Biolab, PolitoBIOMed Lab, Department of Electronics and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy. ^[1] Multi-Modality Medical Imaging (M3I), Technical Medical Centre, University of Twente, PB217, 7500 AE Enschede, The Netherlands. ^[2] Department of Pathology, Ospedale Michele e Pietro Ferrero, 12060 Verduno, Italy. ^[3] Department of Surgical Sciences, University of Turin, 10126 Turin, Italy.;Department of Radiology, Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy. ^[4]

关键词 MRI active shape models automatic prostate segmentation convolutional neural network deep learning hybrid framework medical image segmentation

DOI 10.3390/jimaging8050133

PMID 35621897

发布时间 2023-11-05

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Journal of imaging

2022年8卷5期

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Journal of imaging

2022年8卷5期

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Integration of Deep Learning and Active Shape Models for More Accurate Prostate Segmentation in 3D MR Images.

Journal of imaging

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Integration of Deep Learning and Active Shape Models for More Accurate Prostate Segmentation in 3D MR Images.

Journal of imaging

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Journal of imaging

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