Identification of Cryptosporidium parvum Oocysts by an Artificial Neural Network Approach
| dc.creator | Kenneth W. Widmer | |
| dc.creator | Kevin H. Oshima | |
| dc.creator | Suresh D. Pillai | |
| dc.date.accessioned | 2019-10-15T15:26:30Z | |
| dc.date.available | 2019-10-15T15:26:30Z | |
| dc.date.issued | 2002 | |
| dc.identifier.issn | 0099-2240 | |
| dc.identifier.issn | 1070-6291 | |
| dc.identifier.issn | 1098-5336 | |
| dc.identifier.uri | https://hdl.handle.net/1969.1/183387 | |
| dc.format.extent | 1 | en |
| dc.publisher | Applied and Environmental Microbiology | |
| dc.relation.ispartof | 1foldr Import 2019-10-08 Batch 12 | en |
| dc.relation.uri | 10.1128/AEM.68.3.1115-1121.2002 | en |
| dc.title | Identification of Cryptosporidium parvum Oocysts by an Artificial Neural Network Approach | en |
