Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Malte Rethwisch"'
Publikováno v:
PLoS ONE, Vol 16, Iss 12, p e0260509 (2021)
Automated image processing approaches are indispensable for many biomedical experiments and help to cope with the increasing amount of microscopy image data in a fast and reproducible way. Especially state-of-the-art deep learning-based approaches mo
Externí odkaz:
https://doaj.org/article/540d90e7e2d548b896bc1cf6ba62233f
Publikováno v:
PLoS ONE
PLoS ONE, Vol 16, Iss 12, p e0260509 (2021)
PLOS ONE 16(12), e0260509 (2021). doi:10.1371/journal.pone.0260509
PLoS ONE, Vol 16, Iss 12, p e0260509 (2021)
PLOS ONE 16(12), e0260509 (2021). doi:10.1371/journal.pone.0260509
PLOS ONE 16(12), e0260509 (2021). doi:10.1371/journal.pone.0260509
Published by PLOS, San Francisco, California, US
Published by PLOS, San Francisco, California, US
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfa52a476a2743f5efbf526c2887a609
Publikováno v:
ISBI
Recent microscopy imaging techniques allow to precisely analyze cell morphology in 3D image data. To process the vast amount of image data generated by current digitized imaging techniques, automated approaches are demanded more than ever. Segmentati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a86d527ccf90c7ea68bb7768a37b6056
Autor:
Eschweiler, Dennis1 (AUTHOR) fdennis.eschweiler@lfb.rwth-aachen.de, Rethwisch, Malte1 (AUTHOR), Jarchow, Mareike1 (AUTHOR), Koppers, Simon1 (AUTHOR), Stegmaier, Johannes1 (AUTHOR) fdennis.eschweiler@lfb.rwth-aachen.de
Publikováno v:
PLoS ONE. 12/2/2021, Vol. 16 Issue 12, p1-21. 21p.
Generative Artificial Intelligence is rapidly advancing with many state-of-the-art performances on computer vision, speech processing, and natural language processing tasks. Generative adversarial networks and neural diffusion models can generate hig