Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Marion Dörrich"'
Publikováno v:
IEEE Access, Vol 11, Pp 57627-57634 (2023)
In the deep learning community, increasingly large models are being developed, leading to rapidly growing computational costs and energy costs. Recently, a new trend has been arising, advocating that researchers should also report the energy efficien
Externí odkaz:
https://doaj.org/article/61ee2838b8e443b1bbf6d76b1a4cfa37
Autor:
Marion Dörrich, Markus Hecht, Rainer Fietkau, Arndt Hartmann, Heinrich Iro, Antoniu-Oreste Gostian, Markus Eckstein, Andreas M. Kist
Publikováno v:
Diagnostic Pathology, Vol 18, Iss 1, Pp 1-11 (2023)
Abstract Purpose Although neural networks have shown remarkable performance in medical image analysis, their translation into clinical practice remains difficult due to their lack of interpretability. An emerging field that addresses this problem is
Externí odkaz:
https://doaj.org/article/5c63d1fe106943e8a343a18f29159cb6
Autor:
Andreas M. Kist, Katharina Breininger, Marion Dörrich, Stephan Dürr, Anne Schützenberger, Marion Semmler
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract Glottis segmentation is a crucial step to quantify endoscopic footage in laryngeal high-speed videoendoscopy. Recent advances in deep neural networks for glottis segmentation allow for a fully automatic workflow. However, exact knowledge of
Externí odkaz:
https://doaj.org/article/fe64eb9ca30846a9bca6c72154a7b593