Synthesizing Diagnostic Burn Images for Deep Learning Applications

B. Schenkenfelder, S. Kaltenleithner, B. Sabrowsky-Hirsch, C. Klug, D.B. Lumenta, Josef Scharinger

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Original language	English
Title of host publication	Proceedings of the 2022 Annual Modeling and Simulation Conference (ANNSIM)
Number of pages	1
DOIs	https://doi.org/10.23919/ANNSIM55834.2022.9859295
Publication status	Published - 2022

Fields of science

@inproceedings{1f0b1132d00e412eb2a9170a20e4503c,

title = "Synthesizing Diagnostic Burn Images for Deep Learning Applications",

author = "B. Schenkenfelder and S. Kaltenleithner and B. Sabrowsky-Hirsch and C. Klug and D.B. Lumenta and Josef Scharinger",

year = "2022",

doi = "10.23919/ANNSIM55834.2022.9859295",

language = "English",

booktitle = "Proceedings of the 2022 Annual Modeling and Simulation Conference (ANNSIM)",

}

TY - GEN

T1 - Synthesizing Diagnostic Burn Images for Deep Learning Applications

AU - Schenkenfelder, B.

AU - Kaltenleithner, S.

AU - Sabrowsky-Hirsch, B.

AU - Klug, C.

AU - Lumenta, D.B.

AU - Scharinger, Josef

PY - 2022

Y1 - 2022

U2 - 10.23919/ANNSIM55834.2022.9859295

DO - 10.23919/ANNSIM55834.2022.9859295

M3 - Conference proceedings

BT - Proceedings of the 2022 Annual Modeling and Simulation Conference (ANNSIM)

ER -