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BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients [article]

Maria de la Iglesia Vayá, Jose Manuel Saborit, Joaquim Angel Montell, Antonio Pertusa, Aurelia Bustos, Miguel Cazorla, Joaquin Galant, Xavier Barber, Domingo Orozco-Beltrán, Francisco García-García, Marisa Caparrós, Germán González (+1 others)
2020 arXiv   pre-print
This is, to the best of our knowledge, the largest COVID-19+ dataset of images available in an open format. The dataset can be downloaded from  ...  The findings have been mapped onto standard Unified Medical Language System (UMLS) terminology and cover a wide spectrum of thoracic entities, unlike the considerably more reduced number of entities annotated  ...  Acknowledgements This work is first and foremost an open and free contribution from the authors in the working group with support from the Regional Ministry of Innovation, Universities, Science and Digital  ... 
arXiv:2006.01174v3 fatcat:i3dimqnjwfefhbbg55sxkv667u