Machine Learning analysis of human pulmonary extracellular matrix architecture identifies disease-specific remodeling patterns
T. Lund (Copenhagen, Denmark), M. Emerson (Copenhagen, Denmark), O. Willacy (Copenhagen, Denmark), C. Madsen (Lund, Sweden), R. Reuten (Freiburg, Germany), C. Brøchner (Copenhagen, Denmark), A. Dahl (Copenhagen, Denmark), T. Jensen (Copenhagen, Denmark), J. Erler (Copenhagen, Denmark), A. Mayorca-Guiliani (Copenhagen, Denmark)
Source: International Congress 2022 – Best of imaging research: highlights in 2022
Session: Best of imaging research: highlights in 2022
Session type: Oral Presentation
Number: 1399
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T. Lund (Copenhagen, Denmark), M. Emerson (Copenhagen, Denmark), O. Willacy (Copenhagen, Denmark), C. Madsen (Lund, Sweden), R. Reuten (Freiburg, Germany), C. Brøchner (Copenhagen, Denmark), A. Dahl (Copenhagen, Denmark), T. Jensen (Copenhagen, Denmark), J. Erler (Copenhagen, Denmark), A. Mayorca-Guiliani (Copenhagen, Denmark). Machine Learning analysis of human pulmonary extracellular matrix architecture identifies disease-specific remodeling patterns. 1399
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