
Malaria diagnosis using microscopic imaging
Author(s) -
Mosam K. Sangole,
S. T. Gandhe
Publication year - 2022
Publication title -
international journal of health sciences (ijhs) (en línea)
Language(s) - Uncategorized
Resource type - Journals
eISSN - 2550-6978
pISSN - 2550-696X
DOI - 10.53730/ijhs.v6n2.8735
Subject(s) - malaria , artificial intelligence , diagnosis of malaria , computer science , local binary patterns , blood smear , support vector machine , image processing , anopheles , pattern recognition (psychology) , otsu's method , computer vision , pathology , image segmentation , medicine , segmentation , histogram , image (mathematics) , plasmodium falciparum