Automated Detection of P. falciparum using machine learning algorithms with quantitative phase images of unstained cells

PLoS ONE

Volumn 11, Issue 9, 2016, Pages

  Park, Han Sang ^a   Rinehart, Matthew T ^a   Walzer, Katelyn A ^b,c   Ashley Chi, Jen Tsan ^b,c   Wax, Adam ^a  

^a Duke University   (United States)

^b DUKE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c DUKE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ERYTHROCYTE; EXTRACT; HUMAN; HUMAN TISSUE; IMAGING; K NEAREST NEIGHBOR; LOGISTIC REGRESSION ANALYSIS; NONHUMAN; PHYSICAL PARAMETERS; PLASMODIUM FALCIPARUM; QUANTITATIVE STUDY; SCHIZONT; STAGING; STAINING; TROPHOZOITE; ALGORITHM; AUTOMATION; ISOLATION AND PURIFICATION; MACHINE LEARNING; PARASITOLOGY;

ALGORITHMS; AUTOMATION; ERYTHROCYTES; HUMANS; MACHINE LEARNING; PLASMODIUM FALCIPARUM;

EID: 84992390993     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0163045     Document Type: Article

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