A machine learning-based system for detecting leishmaniasis in microscopic images - Zare, Mojtaba; Akbarialiabad, Hossein; Parsaei, Hossein; Asgari, Qasem; Alinejad, Ali; Bahreini, Mohammad Saleh; Hosseini, Seyed Hossein; Ghofrani-Jahromi, Mohsen; Shahriarirad, Reza; Amirmoezzi, Yalda; Shahriarirad, Sepehr; Zeighami, Ali; et al. (BMC infectious diseases, 2022)
Keywords: Adaboost; Algorithms; Amastigotes; Artificial Intelligence; Biopsy; Care and treatment; Cutaneous leishmaniasis; Diagnosis; Feature extraction; Humans; Image classification; Image processing; Infectious Diseases; Internal Medicine; Laboratories; Learning algorithms; Leishmania; Leishmaniasis; Leishmaniasis - diagnosis; Leishmaniasis, Cutaneous; Machine Learning; Macrophages; Malaria; Medical imaging; Medical Microbiology; Medicine; Medicine & Public Health; Methods; Microscopy, Medical; Morphology; Parasites; Parasitic diseases; Parasitology; Risk factors; Tropical Medicine; Vector-borne diseases; Viola-Jones; Iran; Cutaneous leishmaniasis; Viola-Jones; Image processing; Leishmania; Artificial intelligence; Algorithm; Adaboost