3.2 Pasantías y ponencias

URI permanente para esta colección

https://hdl.handle.net/20.500.12390/361

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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

(International Institute of Informatics and Systemics, IIIS, 2017)
Del Carpio C.
;
Dianderas E.
;
Zimick M.
;
Sheen P.
;
Coronel J.
;
Fuentes P.
;
Kemper G.
Mathematical algorithm for the automatic recognition of intestinal parasites

(PLOS, 2017)
Alva, A
;
Cangalaya, C
;
Quiliano, M
;
Krebs, C
;
Gilman, RH
;
Sheen, P
;
Zimic, M

Parasitic infections are generally diagnosed by professionals trained to recognize the morphological characteristics of the eggs in microscopic images of fecal smears. However, this laboratory diagnosis requires medical specialists which are lacking in many of the areas where these infections are most prevalent. In response to this public health issue, we developed a software based on pattern recognition analysis from microscopi digital images of fecal smears, capable of automatically recognizing and diagnosing common human intestinal parasites.