Quality control of immunofluorescence images using artificial intelligence
Source abstract
Abstract
sponsorship: M.D.A. is supported by KU Leuven grant EHU-D6472-C 16/19/006. M.V. is supported by FWO PhD fellowship fundamental research (11L0824N) . A. Antoranz is supported by a postdoctoral fellowship senior grant from FWO (12ATN24N) . F.B. is supported by FWO Fundamenteel Klinisch Mandaat EMH-D8972-FKM/20. B.D.M. is funded by the KU Leuven Research Fund (projects iBOF/23/064, C16/15/059, C3/19/053, C24/18/022, C3/20/117, and C3I-21-00316) ; the KU Leuven Industrial Research Fund: EOS project no. G0F6718N (SeLMA) , SBO project S005319N, infrastructure project I013218N, and TBM project T001919N; a PhD grant (SB/1SA1319N) ; EWI: the Flanders AI Research Program, VLAIO: CSBO (HBC.2021.0076) Baekeland PhD (HBC.20192204) ; the European Commission: European Research Council under the European Union's Horizon 2020 research and innovation program; and the Foundation "Kom op tegen Kanker,"CM (Christelijke Mutualiteit) . (KU Leuven grant|EHU-D6472-C 16/19/006, FWO PhD fellowship fundamental research|11L0824N, FWO|12ATN24N, FWO Fundamenteel Klinisch Mandaat|EMH-D8972-FKM/20, KU Leuven Research Fund|iBOF/23/064, KU Leuven Research Fund|C16/15/059, KU Leuven Research Fund|C3/19/053, KU Leuven Research Fund|C24/18/022, KU Leuven Research Fund|C3/20/117, KU Leuven Research Fund|C3I-21-00316, KU Leuven Industrial Research Fund: EOS project|G0F6718N, KU Leuven Industrial Research Fund: EOS project|S005319N, KU Leuven Industrial Research Fund: EOS project|I013218N, TBM project|T001919N, PhD grant|SB/1SA1319N, EWI: the Flanders AI Research Program, VLAIO: CSBO|HBC.2021.0076, EWI: the Flanders AI Research Program, VLAIO: CSBO|HBC.20192204, European Commission: European Research Council, Foundation "Kom op tegen Kanker,"CM (Christelijke Mutualiteit))
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Image Processing Techniques and Applications · AI in cancer detection · Cell Image Analysis Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (50)
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