Downloads provided by UsageCounts
Context This data is for the day 3 challenge of the MONAI bootcamp 2020. Given a network to classify images as being normal chest xrays or subjects with pneumonia, develop a new classifier with MONAI to classify as normal (0), pneumonia (1), or a Covid-19 patient (2). Sources Data was acquired from the following sources: https://www.kaggle.com/prashant268/chest-xray-covid19-pneumonia https://data.mendeley.com/datasets/fvk7h5dg2p/3 https://www.kaggle.com/bachrr/covid-chest-xray https://www.kaggle.com/nih-chest-xrays/data https://www.kaggle.com/tawsifurrahman/covid19-radiography-database
Pharmacology, Science Policy, Immunology, Information Systems not elsewhere classified, Plant Biology, Marine Biology, Biochemistry, Microbiology, Covid, xray, Infectious Diseases, Genetics, Developmental Biology, Cancer
Pharmacology, Science Policy, Immunology, Information Systems not elsewhere classified, Plant Biology, Marine Biology, Biochemistry, Microbiology, Covid, xray, Infectious Diseases, Genetics, Developmental Biology, Cancer
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 34 | |
| downloads | 196 |

Views provided by UsageCounts
Downloads provided by UsageCounts