SPECHT: Self-tuning Plausibility based object detection Enables quantification of Conflict in Heterogeneous multi-scale microscopy.
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| Title: | SPECHT: Self-tuning Plausibility based object detection Enables quantification of Conflict in Heterogeneous multi-scale microscopy. |
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| Authors: | Cardoen B; Medical Image Analysis Laboratory, School of Computing Science, Simon Fraser University, Burnaby, British Columbia, Canada., Wong T; Department of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, British Columbia, Canada., Alan P; Department of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, British Columbia, Canada., Lee S; Department of Ophthalmology and Visual Sciences, Eye Care Centre, University of British Columbia, Vancouver, British Columbia, Canada.; Mental Health & Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom., Matsubara JA; Department of Ophthalmology and Visual Sciences, Eye Care Centre, University of British Columbia, Vancouver, British Columbia, Canada., Nabi IR; Department of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, British Columbia, Canada.; School of Biomedical Engineering, University of British Columbia, Vancouver, British Columbia, Canada., Hamarneh G; Medical Image Analysis Laboratory, School of Computing Science, Simon Fraser University, Burnaby, British Columbia, Canada. |
| Source: | PloS one [PLoS One] 2022 Dec 29; Vol. 17 (12), pp. e0276726. Date of Electronic Publication: 2022 Dec 29 (Print Publication: 2022). |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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