Automated segmentation of dermal fillers in OCT images of mice using convolutional neural networks-Reference-Cited by-同舟云学术

Automated segmentation of dermal fillers in OCT images of mice using convolutional neural networks

Published:2019-02-19 Issue:3 Volume:10 Page:1315
ISSN:2156-7085
Container-title:Biomedical Optics Express
language:en
Short-container-title:Biomed. Opt. Express

Author:

Pfister Martin^ORCID,Schützenberger Kornelia,Pfeiffenberger Ulrike,Messner Alina,Chen Zhe,Santos Valentin Aranha dos,Puchner Stefan,Garhöfer Gerhard,Schmetterer Leopold,Gröschl Martin,Werkmeister René M.

Funder

Austrian Federal Ministry for Digital and Economic Affairs

Christian Doppler Forschungsgesellschaft

Croma-Pharma GmbH

Österreichische Nationalstiftung für Forschung, Technologie und Entwicklung

Publisher

The Optical Society

Subject

Atomic and Molecular Physics, and Optics,Biotechnology

Reference21 articles.

1. Biochemistry, Physiology, and Tissue Interactions of Contemporary Biodegradable Injectable Dermal Fillers;Herrmann,2018

2. Optical Coherence Tomography

3. In vivo retinal imaging by optical coherence tomography

4. In Vivo Optical Coherence Tomography

5. ImageNet classification with deep convolutional neural networks;Krizhevsky,2012

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