C., D. C., E., D., M., Z., P., S., J., C., P., F., & G., K. (2017). 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.
Citación estilo ChicagoC., Del Carpio, Dianderas E., Zimick M., Sheen P., Coronel J., Fuentes P., y Kemper G. 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. 2017.
Cita MLAC., Del Carpio, et al. 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. 2017.