Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Becker, Katinka"'
The adoption of machine learning (ML) and, more specifically, deep learning (DL) applications into all major areas of our lives is underway. The development of trustworthy AI is especially important in medicine due to the large implications for patie
Externí odkaz:
http://arxiv.org/abs/2402.13635
Autor:
Becker, Katinka
Methods and models of machine learning have become indispensable for the analysis and interpretation of big data sets in the biomedical field. This work focuses on the machine learning method Logical Analysis of Data (LAD), which combines concepts fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::273af5519ebe50a6403532c1f6be8b0c
https://doi.org/10.17169/refubium-31339
https://doi.org/10.17169/refubium-31339
Publikováno v:
Frontiers in Bioengineering and Biotechnology. 6
Cell classifier circuits are synthetic biological circuits capable of distinguishing between different cell states depending on specific cellular markers and engendering a state-specific response. An example are classifiers for cancer cells that reco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::91190ab2ca4b1fae056aa706a244529f
The METRIC-framework for assessing data quality for trustworthy AI in medicine: a systematic review.
Autor:
Schwabe D; Division Medical Physics and Metrological Information Technology, Physikalisch-Technische Bundesanstalt, Berlin, Germany. daniel.schwabe@ptb.de., Becker K; Division Medical Physics and Metrological Information Technology, Physikalisch-Technische Bundesanstalt, Berlin, Germany., Seyferth M; Division Medical Physics and Metrological Information Technology, Physikalisch-Technische Bundesanstalt, Berlin, Germany., Klaß A; Division Medical Physics and Metrological Information Technology, Physikalisch-Technische Bundesanstalt, Berlin, Germany., Schaeffter T; Division Medical Physics and Metrological Information Technology, Physikalisch-Technische Bundesanstalt, Berlin, Germany.; Department of Medical Engineering, Technical University Berlin, Berlin, Germany.; Einstein Centre for Digital Future, Berlin, Germany.
Publikováno v:
NPJ digital medicine [NPJ Digit Med] 2024 Aug 03; Vol. 7 (1), pp. 203. Date of Electronic Publication: 2024 Aug 03.