Using image segmentation models to analyse high-resolution earth observation data: new tools to monitor disease risks in changing environments.
Saved in:
| Title: | Using image segmentation models to analyse high-resolution earth observation data: new tools to monitor disease risks in changing environments. |
|---|---|
| Authors: | Trujillano F; School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, Scotland, UK. Fedra.Trujillano@glasgow.ac.uk.; School of Geographical & Earth Sciences, University of Glasgow, Glasgow, Scotland, UK. Fedra.Trujillano@glasgow.ac.uk., Jimenez G; Sorbonne Université, Institute du Cerveau - ICM, CNRS, Inria, AP-HP, Paris, Inserm, France., Manrique E; School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, Scotland, UK., Kahamba NF; School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, Scotland, UK.; Environmental Health and Ecological Sciences Department, Ifakara Health Institute, P. O. Box 53, Ifakara, Tanzania., Okumu F; School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, Scotland, UK.; Environmental Health and Ecological Sciences Department, Ifakara Health Institute, P. O. Box 53, Ifakara, Tanzania., Apollinaire N; Centre National de Recherche et de Formation sur le Paludisme, Ouagadougou, Burkina Faso., Carrasco-Escobar G; Health Innovation Laboratory, Institute of Tropical Medicine 'Alexander von Humboldt', Universidad Peruana Cayetano Heredia, Lima, Peru., Barrett B; School of Geographical & Earth Sciences, University of Glasgow, Glasgow, Scotland, UK., Fornace K; School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, Scotland, UK.; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore. |
| Source: | International journal of health geographics [Int J Health Geogr] 2024 May 19; Vol. 23 (1), pp. 13. Date of Electronic Publication: 2024 May 19. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 101152198 Publication Model: Electronic Cited Medium: Internet ISSN: 1476-072X (Electronic) Linking ISSN: 1476072X NLM ISO Abbreviation: Int J Health Geogr Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1476-072X |
|---|---|
| DOI: | 10.1186/s12942-024-00371-w |
