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Using artificial intelligence on dermatology conditions in Uganda: A case for diversity in training data sets for machine learning
View ORCID ProfileLouis Henry Kamulegeya, Mark Okello, John Mark Bwanika, Davis Musinguzi, William Lubega, Davis Rusoke, Faith Nassiwa, View ORCID ProfileAlexander Börve
doi: https://doi.org/10.1101/826057
Louis Henry Kamulegeya
1The Medical Concierge Group, Kampala- Uganda
Mark Okello
1The Medical Concierge Group, Kampala- Uganda
John Mark Bwanika
1The Medical Concierge Group, Kampala- Uganda
Davis Musinguzi
1The Medical Concierge Group, Kampala- Uganda
William Lubega
1The Medical Concierge Group, Kampala- Uganda
Davis Rusoke
1The Medical Concierge Group, Kampala- Uganda
Faith Nassiwa
1The Medical Concierge Group, Kampala- Uganda
Alexander Börve
2Departments of Orthopaedics, Sahlgrenska University Hospital, Institute of Clinical Sciences at the Sahlgrenska Academy, University of Gothenburg, Sweden
Article usage
Posted October 31, 2019.
Using artificial intelligence on dermatology conditions in Uganda: A case for diversity in training data sets for machine learning
Louis Henry Kamulegeya, Mark Okello, John Mark Bwanika, Davis Musinguzi, William Lubega, Davis Rusoke, Faith Nassiwa, Alexander Börve
bioRxiv 826057; doi: https://doi.org/10.1101/826057
Using artificial intelligence on dermatology conditions in Uganda: A case for diversity in training data sets for machine learning
Louis Henry Kamulegeya, Mark Okello, John Mark Bwanika, Davis Musinguzi, William Lubega, Davis Rusoke, Faith Nassiwa, Alexander Börve
bioRxiv 826057; doi: https://doi.org/10.1101/826057
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