Capsules for biomedical image segmentation

•First ever capsule network for image segmentation.•Reduced memory burden: locally-constrained routing and transformation matrix sharing.•Introduced novel deconvolutional capsules to create encoder-decoder architecture.•Extended the reconstruction regularization to the segmentation task.•Outperforme...

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Bibliographic Details
Published in:	Medical image analysis Vol. 68; p. 101889
Main Authors:	LaLonde, Rodney, Xu, Ziyue, Irmakci, Ismail, Jain, Sanjay, Bagci, Ulas
Format:	Journal Article
Language:	English
Published:	Netherlands Elsevier B.V 01.02.2021 Elsevier BV
Subjects:	Ablation Capsule network Capsules Coders Computed tomography Datasets Encoders-Decoders Experiments Humans Image processing Image Processing, Computer-Assisted Image reconstruction Image segmentation Lung segmentation Lungs Magnetic Resonance Imaging Medical imaging Muscles Neural Networks, Computer Parameters Pre-clinical imaging Regularization Routing Thigh MRI segmentation Thorax Tomography Tomography, X-Ray Computed Lung segmentation Pre-clinical imaging Capsule network Thigh MRI segmentation
ISSN:	1361-8415, 1361-8423, 1361-8423
Online Access:	Get full text
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