Enabling on-Demand Features for Decision Forests - An Approach to Lesion Segmentation in MR Volumes

A. Rüsch; Oskar Maier; Heinz Handels

Enabling on-Demand Features for Decision Forests - An Approach to Lesion Segmentation in MR Volumes

A. Rüsch, Oskar Maier, Heinz Handels

Institute of Medical Informatics

Graduate School for Computing in Medicine and Live Science

Original language	English
Title of host publication	Student Conference Medical Engineering Science 2015
Editors	Thorsten Buzug
Number of pages	4
Place of Publication	Lübeck
Publisher	Infinite Science Publishing
Publication date	01.07.2015
Pages	215-218
ISBN (Print)	978-3-945954-00-3
Publication status	Published - 01.07.2015
Event	Student Conference 2015, Medical Engineering Science - Lübeck, Germany Duration: 11.03.2015 → 13.03.2015 http://www.bio-med-tec.de/studierendentagung/previous-conferences/studierendentagung-2015.html

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 9 Industry, Innovation, and Infrastructure

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https://books.infinite-science.de/tagungsbaende/239/student-conference-medical-engineering-science-2015

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Rüsch, A., Maier, O., & Handels, H. (2015). Enabling on-Demand Features for Decision Forests - An Approach to Lesion Segmentation in MR Volumes. In T. Buzug (Ed.), Student Conference Medical Engineering Science 2015 (pp. 215-218). (Student Conference on Medical Engineering Science). Infinite Science Publishing. https://books.infinite-science.de/tagungsbaende/239/student-conference-medical-engineering-science-2015

@inproceedings{3032351032a342f397199b33cf96c540,

title = "Enabling on-Demand Features for Decision Forests - An Approach to Lesion Segmentation in MR Volumes",

author = "A. R{\"u}sch and Oskar Maier and Heinz Handels",

year = "2015",

month = jul,

day = "1",

language = "English",

isbn = "978-3-945954-00-3",

series = "Student Conference on Medical Engineering Science",

publisher = "Infinite Science Publishing",

pages = "215--218",

editor = "Thorsten Buzug",

booktitle = "Student Conference Medical Engineering Science 2015",

note = "Student Conference 2015, Medical Engineering Science<br/> ; Conference date: 11-03-2015 Through 13-03-2015",

url = "http://www.bio-med-tec.de/studierendentagung/previous-conferences/studierendentagung-2015.html",

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Rüsch, A, Maier, O & Handels, H 2015, Enabling on-Demand Features for Decision Forests - An Approach to Lesion Segmentation in MR Volumes. in T Buzug (ed.), Student Conference Medical Engineering Science 2015. Student Conference on Medical Engineering Science, Infinite Science Publishing, Lübeck, pp. 215-218, Student Conference 2015, Medical Engineering Science
, Lübeck, Germany, 11.03.15. <https://books.infinite-science.de/tagungsbaende/239/student-conference-medical-engineering-science-2015>

Enabling on-Demand Features for Decision Forests - An Approach to Lesion Segmentation in MR Volumes. / Rüsch, A.; Maier, Oskar; Handels, Heinz.
Student Conference Medical Engineering Science 2015. ed. / Thorsten Buzug. Lübeck: Infinite Science Publishing, 2015. p. 215-218 (Student Conference on Medical Engineering Science).

Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

TY - GEN

T1 - Enabling on-Demand Features for Decision Forests - An Approach to Lesion Segmentation in MR Volumes

AU - Rüsch, A.

AU - Maier, Oskar

AU - Handels, Heinz

PY - 2015/7/1

Y1 - 2015/7/1

UR - http://www.imi.uni-luebeck.de/en/content/enabling-demand-features-decision-forests-approach-lesion-segmentation-mr-volumes

M3 - Conference contribution

SN - 978-3-945954-00-3

T3 - Student Conference on Medical Engineering Science

SP - 215

EP - 218

BT - Student Conference Medical Engineering Science 2015

A2 - Buzug, Thorsten

PB - Infinite Science Publishing

CY - Lübeck

T2 - Student Conference 2015, Medical Engineering Science<br/>

Y2 - 11 March 2015 through 13 March 2015

ER -

Enabling on-Demand Features for Decision Forests - An Approach to Lesion Segmentation in MR Volumes

UN SDGs

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