Tree ring segmentation performance in highly disturbed trees using deep learning.
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| Title: | Tree ring segmentation performance in highly disturbed trees using deep learning. |
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| Authors: | Zambrano-Suárez JD; Department of Geology, National Natural Science Museum, Spanish Research Council, Madrid, Spain.; Research Institute of Water and Environmental Engineering, Universitat Politècnica de València, Valencia, Spain., Pérez-Martín J; Department of Artificial Intelligence, National University of Distance Education, Madrid, Spain., Manchado AM; Department of Geology, National Natural Science Museum, Spanish Research Council, Madrid, Spain., Ballesteros Cánovas JA; Department of Geology, National Natural Science Museum, Spanish Research Council, Madrid, Spain. |
| Source: | PloS one [PLoS One] 2026 Jun 18; Vol. 21 (6), pp. e0321841. Date of Electronic Publication: 2026 Jun 18 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| 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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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0321841 |
