Publicación:
A computer algorithm for detection of tuberculosis bacilli in Ziehl Nellsen sputum smear images based on the adjustment of RGB primary component tones and geometric eccentricity
A computer algorithm for detection of tuberculosis bacilli in Ziehl Nellsen sputum smear images based on the adjustment of RGB primary component tones and geometric eccentricity
dc.contributor.author | Del Carpio C. | es_PE |
dc.contributor.author | Dianderas E. | es_PE |
dc.contributor.author | Zimick M. | es_PE |
dc.contributor.author | Sheen P. | es_PE |
dc.contributor.author | Coronel J. | es_PE |
dc.contributor.author | Fuentes P. | es_PE |
dc.contributor.author | Kemper G. | es_PE |
dc.date.accessioned | 2024-05-30T23:13:38Z | |
dc.date.available | 2024-05-30T23:13:38Z | |
dc.date.issued | 2017 | |
dc.description.sponsorship | Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - Concytec | |
dc.identifier.isbn | urn:isbn:9781941763599 | |
dc.identifier.scopus | 2-s2.0-85032367882 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12390/484 | |
dc.language.iso | eng | |
dc.publisher | International Institute of Informatics and Systemics, IIIS | |
dc.relation.ispartof | WMSCI 2017 - 21st World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | Ziehl-neelsen | |
dc.subject | Algorithms | es_PE |
dc.subject | Bacilli | es_PE |
dc.subject | Bacteriology | es_PE |
dc.subject | Cybernetics | es_PE |
dc.subject | Diagnosis | es_PE |
dc.subject | Geometry | es_PE |
dc.subject | Image enhancement | es_PE |
dc.subject | Image processing | es_PE |
dc.subject | Optical data processing | es_PE |
dc.subject | Plasma diagnostics | es_PE |
dc.subject | Sensitivity analysis | es_PE |
dc.subject | Baciloscopy | es_PE |
dc.subject | Digital image | es_PE |
dc.subject | Sputum smear | es_PE |
dc.title | A computer algorithm for detection of tuberculosis bacilli in Ziehl Nellsen sputum smear images based on the adjustment of RGB primary component tones and geometric eccentricity | |
dc.type | info:eu-repo/semantics/conferenceObject | |
dspace.entity.type | Publication |