Capsule networks for segmentation of small intravascular ultrasound image datasets

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1861-6429

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Capsule networks for segmentation of small intravascular ultrasound image datasets ; volume:16 ; number:8 ; day:14 ; month:6 ; year:2021 ; pages:1243-1254 ; date:8.2021
International journal of computer assisted radiology and surgery ; 16, Heft 8 (14.6.2021), 1243-1254, 8.2021

Creator: Holstein, Lennart
Raschka, Silas
Schlaefer, Alexander

Contributor: SpringerLink (Online service)

DOI: 10.1007/s11548-021-02417-x

URN: urn:nbn:de:101:1-2021102301520846473260

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:36 AM CEST

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Holstein, Lennart
Raschka, Silas
Schlaefer, Alexander
SpringerLink (Online service)

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GANs for generation of synthetic ultrasound images from small datasets

Efficient neural architecture search on low-dimensional data for OCT image segmentation

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Computer assisted planning for robotic radiosurgery

Deep learning for calcium segmentation in intravascular ultrasound images

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Generalization of spatio-temporal deep learning for vision-based force estimation

Data augmentation for computed tomography angiography via synthetic image generation and neural domain adaptation

Robotic systems in radiotherapy and radiosurgery

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Capsule networks for segmentation of small intravascular ultrasound image datasets

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Other Objects (12)

Capsule networks for segmentation of small intravascular ultrasound image datasets

GANs for generation of synthetic ultrasound images from small datasets

Efficient neural architecture search on low-dimensional data for OCT image segmentation

Computer assisted planning for robotic radiosurgery

Deep learning for calcium segmentation in intravascular ultrasound images

Deep learning for calcium segmentation in intravascular ultrasound images

Squeeze and multi-context attention for polyp segmentation

SpeckleGAN: a generative adversarial network with an adaptive speckle layer to augment limited training data for ultrasound image processing

SpeckleGAN: a generative adversarial network with an adaptive speckle layer to augment limited training data for ultrasound image processing

Generalization of spatio-temporal deep learning for vision-based force estimation

Data augmentation for computed tomography angiography via synthetic image generation and neural domain adaptation

Robotic systems in radiotherapy and radiosurgery

Capsule networks for segmentation of small intravascular ultrasound image datasets

GANs for generation of synthetic ultrasound images from small datasets

Efficient neural architecture search on low-dimensional data for OCT image segmentation

Computer assisted planning for robotic radiosurgery

Deep learning for calcium segmentation in intravascular ultrasound images

Deep learning for calcium segmentation in intravascular ultrasound images

Squeeze and multi-context attention for polyp segmentation

SpeckleGAN: a generative adversarial network with an adaptive speckle layer to augment limited training data for ultrasound image processing

SpeckleGAN: a generative adversarial network with an adaptive speckle layer to augment limited training data for ultrasound image processing

Generalization of spatio-temporal deep learning for vision-based force estimation

Data augmentation for computed tomography angiography via synthetic image generation and neural domain adaptation

Robotic systems in radiotherapy and radiosurgery

Capsule networks for segmentation of small intravascular ultrasound image datasets

GANs for generation of synthetic ultrasound images from small datasets

Efficient neural architecture search on low-dimensional data for OCT image segmentation

Computer assisted planning for robotic radiosurgery

Deep learning for calcium segmentation in intravascular ultrasound images

Deep learning for calcium segmentation in intravascular ultrasound images

Squeeze and multi-context attention for polyp segmentation

SpeckleGAN: a generative adversarial network with an adaptive speckle layer to augment limited training data for ultrasound image processing

SpeckleGAN: a generative adversarial network with an adaptive speckle layer to augment limited training data for ultrasound image processing

Generalization of spatio-temporal deep learning for vision-based force estimation

Data augmentation for computed tomography angiography via synthetic image generation and neural domain adaptation

Robotic systems in radiotherapy and radiosurgery

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