Computational anatomy atlas using multilayer perceptron with Lipschitz regularization
Электронный научный архив УРФУ
Информация об архиве | Просмотр оригинала| Поле | Значение | |
| Заглавие |
Computational anatomy atlas using multilayer perceptron with Lipschitz regularization
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| Автор |
Ushenin, K.
Dordiuk, V. Dzhigil, M. |
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| Тематика |
COMPUTATIONAL ANATOMY ATLAS
IMPLICIT REPRESENTATION LIPSCHITZ CONTINUITY LIPSCHITZ REGULARIZATION ML-ENGINEERING COMPUTER VISION MULTILAYER NEURAL NETWORKS ATLAS GENERATION COMPUTATIONAL ANATOMY COMPUTATIONAL ANATOMY ATLAS IMPLICIT REPRESENTATION LIPSCHITZ LIPSCHITZ CONTINUITY LIPSCHITZ REGULARIZATION ML-ENGINEERING MULTILAYERS PERCEPTRONS REGULARISATION MULTILAYERS |
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| Описание |
A computational anatomy atlas is a set of internal organ geometries. It is based on data of real patients and complemented with virtual cases by using a some numerical approach. Atlases are in demand in computational physiology, especially in cardiological and neurophysiological applications. Usually, atlas generation uses explicit object representation, such as voxel models or surface meshes. In this paper, we propose a method of atlas generation using an implicit representation of 3D objects. Our approach has two key stages. The first stage converts voxel models of segmented organs to implicit form using the usual multilayer perceptron. This stage smooths the model and reduces memory consumption. The second stage uses a multilayer perceptron with Lipschitz regularization. This neural network provides a smooth transition between implicitly defined 3D geometries. Our work shows examples of models of the left and right human ventricles. All code and data for this work are open. © 2022 IEEE.
Russian Science Foundation, RSF, (RSF 22-21-00930) This work has been supported by the grants the Russian Science Foundation, RSF 22-21-00930. |
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| Дата |
2024-04-08T11:05:23Z
2024-04-08T11:05:23Z 2022 |
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| Тип |
Conference paper
Conference object (info:eu-repo/semantics/conferenceObject) info:eu-repo/semantics/submittedVersion |
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| Идентификатор |
Ushenin, K, Dordiuk, V & Dzhigil, M 2022, Computational anatomy atlas using multilayer perceptron with Lipschitz regularization. в SIBIRCON 2022 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. SIBIRCON - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings, Institute of Electrical and Electronics Engineers Inc., стр. 680-683, 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON), 11/11/2022. https://doi.org/10.1109/SIBIRCON56155.2022.10016940
Ushenin, K., Dordiuk, V., & Dzhigil, M. (2022). Computational anatomy atlas using multilayer perceptron with Lipschitz regularization. в SIBIRCON 2022 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings (стр. 680-683). (SIBIRCON - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIBIRCON56155.2022.10016940 978-166546480-2 Final All Open Access; Green Open Access https://arxiv.org/pdf/2211.03122 https://arxiv.org/pdf/2211.03122 http://elar.urfu.ru/handle/10995/131168 10.1109/SIBIRCON56155.2022.10016940 85147528131 |
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| Язык |
en
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| Связанные ресурсы |
info:eu-repo/grantAgreement/RSF//22-21-00930
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| Права |
Open access (info:eu-repo/semantics/openAccess)
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| Формат |
application/pdf
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| Издатель |
Institute of Electrical and Electronics Engineers Inc.
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| Источник |
2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)
2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2022 |
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