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Estimation of boundaries of fuzzy (cancer) structures

Hetzheim, Hartwig (2016) Estimation of boundaries of fuzzy (cancer) structures. DKFZ - Computer Vision Summit, 11.02.2016, Heidelberg.

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The high spatial resolution of medical images and their pixel interactions gives a huge amount of information which can be used to generate, select and combine properties. With this properties fuzzy parts within images like cancer or nerve connections and especially their boundaries can be isolated or estimated. The requirements for this topic are a good signal model, the representation of fuzzy regions by fuzzy functions and fuzzy measures iteratively combined by the fuzzy integral [1]. With an adapted approximation and an effective algorithm for description of multiple stochastic properties the results of questions are obtained in real time [2]. The estimation of the boundary is important for surgery and irradiation planning

Item URL in elib:https://elib.dlr.de/103343/
Document Type:Conference or Workshop Item (Poster)
Title:Estimation of boundaries of fuzzy (cancer) structures
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Date:February 2016
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Keywords:fuzzy boundaries cancer classification
Event Title:DKFZ - Computer Vision Summit
Event Location:Heidelberg
Event Type:national Conference, Workshop
Event Dates:11.02.2016
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Anwendungn Optik: 3-D, Datenfusion, optische Navigation (old)
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Optical Sensor Systems > Information Processing for Optical Systems
Deposited By: Funk, Eugen
Deposited On:14 Mar 2016 08:59
Last Modified:14 Mar 2016 08:59

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