A comparative analysis of deep learning architectures on high variation malaria parasite classification dataset

Melanoma detection using adversarial training and deep transfer learning

(2020) Hasib Zunair et al.   PHYSICS IN MEDICINE AND BIOLOGY

A Deep Learning Approach for Segmentation of Red Blood Cell Images and Malaria Detection

(2020) Maria Delgado-Ortet et al.   Entropy

Performance evaluation of deep neural ensembles toward malaria parasite detection in thin-blood smear images

(2019) Sivaramakrishnan Rajaraman et al.   PeerJ

Impact of Misclassification Rates on Compression Efficiency of Red Blood Cell Images of Malaria Infection Using Deep Learning

(2019) Yuhang Dong et al.   Entropy

Deep Learning for Smartphone-Based Malaria Parasite Detection in Thick Blood Smears

(2019) Feng Yang et al.   IEEE Journal of Biomedical and Health Informatics

Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images

(2018) Sivaramakrishnan Rajaraman et al.   PeerJ

Automatic image segmentation of nuclear stained breast tissue sections using color active contour model and an improved watershed method

(2013) Aymen Mouelhi et al.   Biomedical Signal Processing and Control

Red blood cell morphology

(2013) J. Ford   International Journal of Laboratory Hematology

Malaria Rapid Diagnostic Tests

(2012) M. L. Wilson   CLINICAL INFECTIOUS DISEASES

Malaria:

(2012) Behzad Nadjm et al.   INFECTIOUS DISEASE CLINICS OF NORTH AMERICA

Annotated high-throughput microscopy image sets for validation

(2012) Vebjorn Ljosa et al.   NATURE METHODS

Parasite detection and identification for automated thin blood film malaria diagnosis

(2009) F. Boray Tek et al.   COMPUTER VISION AND IMAGE UNDERSTANDING