Deep 3D Encoder-Decoder Networks with Applications to Organ Segmentation

Nassim Bouteldja; Mattias Paul Heinrich

Deep 3D Encoder-Decoder Networks with Applications to Organ Segmentation

Institut für Medizinische Informatik

Abstract

The contributions to this proceedings book show how new approaches and methods in medical engineering and medical informatics can advance medicine, health and health care. The papers focus on the following topics: Medical Image Processing, Medical Imaging, Signal Processing, Biomedical Optics, Biochemical Physics, Safety and Quality, E-Health.

Originalsprache	Englisch
Titel	Student Conference Proceedings 2018: 7th Conference on Medical Engineering Science and 3rd Conference on Medical Informatics and 1st Conference on Biomediacal Engineering
Redakteure/-innen	Thorsten Buzug, Heinz Handels, Stephan Klein
Seitenumfang	4
Herausgeber (Verlag)	Infinite Science Publishing
Erscheinungsdatum	03.07.2018
Seiten	229-232
ISBN (Print)	978-3-945954-47-8
Publikationsstatus	Veröffentlicht - 03.07.2018
Veranstaltung	Student Conference 2018 - Universität zu Lübeck, Lübeck, Deutschland Dauer: 07.02.2017 → 09.03.2018 http://www.bio-med-tec.de/studierendentagung/previous-conferences/student-conference-2018.html

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https://books.infinite-science.de/tagungsbaende/291/student-conference-proceedings-2018

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Bouteldja, N., & Heinrich, M. P. (2018). Deep 3D Encoder-Decoder Networks with Applications to Organ Segmentation. in T. Buzug, H. Handels, & S. Klein (Hrsg.), Student Conference Proceedings 2018: 7th Conference on Medical Engineering Science and 3rd Conference on Medical Informatics and 1st Conference on Biomediacal Engineering (S. 229-232). (Student Conference Proceedings). Infinite Science Publishing. https://books.infinite-science.de/tagungsbaende/291/student-conference-proceedings-2018

Bouteldja, Nassim ; Heinrich, Mattias Paul. / Deep 3D Encoder-Decoder Networks with Applications to Organ Segmentation. Student Conference Proceedings 2018: 7th Conference on Medical Engineering Science and 3rd Conference on Medical Informatics and 1st Conference on Biomediacal Engineering. Hrsg. / Thorsten Buzug ; Heinz Handels ; Stephan Klein. Infinite Science Publishing, 2018. S. 229-232 (Student Conference Proceedings).

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title = "Deep 3D Encoder-Decoder Networks with Applications to Organ Segmentation",

abstract = "The contributions to this proceedings book show how new approaches and methods in medical engineering and medical informatics can advance medicine, health and health care. The papers focus on the following topics: Medical Image Processing, Medical Imaging, Signal Processing, Biomedical Optics, Biochemical Physics, Safety and Quality, E-Health.",

author = "Nassim Bouteldja and Heinrich, {Mattias Paul}",

year = "2018",

month = jul,

day = "3",

language = "English",

isbn = "978-3-945954-47-8",

series = "Student Conference Proceedings",

publisher = "Infinite Science Publishing",

pages = "229--232",

editor = "Thorsten Buzug and Heinz Handels and Stephan Klein",

booktitle = "Student Conference Proceedings 2018: 7th Conference on Medical Engineering Science and 3rd Conference on Medical Informatics and 1st Conference on Biomediacal Engineering",

note = "Student Conference 2018 ; Conference date: 07-02-2017 Through 09-03-2018",

url = "http://www.bio-med-tec.de/studierendentagung/previous-conferences/student-conference-2018.html",

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Bouteldja, N & Heinrich, MP 2018, Deep 3D Encoder-Decoder Networks with Applications to Organ Segmentation. in T Buzug, H Handels & S Klein (Hrsg.), Student Conference Proceedings 2018: 7th Conference on Medical Engineering Science and 3rd Conference on Medical Informatics and 1st Conference on Biomediacal Engineering. Student Conference Proceedings, Infinite Science Publishing, S. 229-232, Student Conference 2018, Lübeck, Schleswig-Holstein, Deutschland, 07.02.17. <https://books.infinite-science.de/tagungsbaende/291/student-conference-proceedings-2018>

Deep 3D Encoder-Decoder Networks with Applications to Organ Segmentation. / Bouteldja, Nassim; Heinrich, Mattias Paul.
Student Conference Proceedings 2018: 7th Conference on Medical Engineering Science and 3rd Conference on Medical Informatics and 1st Conference on Biomediacal Engineering. Hrsg. / Thorsten Buzug; Heinz Handels; Stephan Klein. Infinite Science Publishing, 2018. S. 229-232 (Student Conference Proceedings).

Publikation: Kapitel in Büchern/Berichten/Konferenzbänden › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - Deep 3D Encoder-Decoder Networks with Applications to Organ Segmentation

AU - Bouteldja, Nassim

AU - Heinrich, Mattias Paul

PY - 2018/7/3

Y1 - 2018/7/3

N2 - The contributions to this proceedings book show how new approaches and methods in medical engineering and medical informatics can advance medicine, health and health care. The papers focus on the following topics: Medical Image Processing, Medical Imaging, Signal Processing, Biomedical Optics, Biochemical Physics, Safety and Quality, E-Health.

AB - The contributions to this proceedings book show how new approaches and methods in medical engineering and medical informatics can advance medicine, health and health care. The papers focus on the following topics: Medical Image Processing, Medical Imaging, Signal Processing, Biomedical Optics, Biochemical Physics, Safety and Quality, E-Health.

M3 - Conference contribution

SN - 978-3-945954-47-8

T3 - Student Conference Proceedings

SP - 229

EP - 232

BT - Student Conference Proceedings 2018: 7th Conference on Medical Engineering Science and 3rd Conference on Medical Informatics and 1st Conference on Biomediacal Engineering

A2 - Buzug, Thorsten

A2 - Handels, Heinz

A2 - Klein, Stephan

PB - Infinite Science Publishing

T2 - Student Conference 2018

Y2 - 7 February 2017 through 9 March 2018

ER -

Bouteldja N, Heinrich MP. Deep 3D Encoder-Decoder Networks with Applications to Organ Segmentation. in Buzug T, Handels H, Klein S, Hrsg., Student Conference Proceedings 2018: 7th Conference on Medical Engineering Science and 3rd Conference on Medical Informatics and 1st Conference on Biomediacal Engineering. Infinite Science Publishing. 2018. S. 229-232. (Student Conference Proceedings).

Deep 3D Encoder-Decoder Networks with Applications to Organ Segmentation

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