Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images - Rajaraman, Sivaramakrishnan; Antani, Sameer K.; Poostchi, Mahdieh; Silamut, Kamolrat; Hossain, Md. A.; Maude, Richard J.; Jaeger, Stefan; Thoma, George R. (PeerJ (San Francisco, CA), 2018)
Keywords: Analysis; Artificial intelligence; Artificial neural networks; Automation; Blood; Blood smear; Computational Science; Convolutional Neural Networks; Data Mining and Machine Learning; Data Science; Decision making; Deep Learning; Diagnosis; Diagnostic imaging; Disease transmission; Health aspects; Health screening; Image processing; Infectious Diseases; Learning algorithms; Machine Learning; Malaria; Medicine; Methods; Neural networks; Parasitemia; Parasites; Plasmodium falciparum; Pre-trained models; United States--US; Screening; Blood smear; Malaria; Pre-trained models; Feature extraction; Convolutional Neural Networks; Machine Learning; Computer-aided diagnosis; Deep Learning