Deep Learning Based Automatic Malaria Parasite Detection from Blood Smear and Its Smartphone Based Application

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

(2019) Sivaramakrishnan Rajaraman et al.   PeerJ

Image analysis and machine learning for detecting malaria

(2018) Mahdieh Poostchi et al.   Translational Research

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

(2018) Sivaramakrishnan Rajaraman et al.   PeerJ

Convolutional neural network-based malaria diagnosis from focus stack of blood smear images acquired using custom-built slide scanner

(2017) Gopalakrishna Pillai Gopakumar et al.   Journal of Biophotonics

Update on Malaria Diagnostics and Test Utilization

(2017) Blaine A. Mathison et al.   JOURNAL OF CLINICAL MICROBIOLOGY

Feature extraction from histopathological images based on nucleus-guided convolutional neural network for breast lesion classification

(2017) Yushan Zheng et al.   PATTERN RECOGNITION

Malaria Parasite Detection From Peripheral Blood Smear Images Using Deep Belief Networks

(2017) Dhanya Bibin et al.   IEEE Access

A sparse auto-encoder-based deep neural network approach for induction motor faults classification

(2016) Wenjun Sun et al.   MEASUREMENT

Malaria infected erythrocyte classification based on a hybrid classifier using microscopic images of thin blood smear

(2016) Salam Shuleenda Devi et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Digital image analysis for automatic enumeration of malaria parasites using morphological operations

(2015) J.E. Arco et al.   EXPERT SYSTEMS WITH APPLICATIONS

High-Resolution SAR Image Classification via Deep Convolutional Autoencoders

(2015) Jie Geng et al.   IEEE Geoscience and Remote Sensing Letters

Quality assurance of malaria rapid diagnostic tests used for routine patient care in rural Tanzania: microscopy versus real-time polymerase chain reaction

(2015) Irene M Masanja et al.   MALARIA JOURNAL

Automated system for characterization and classification of malaria-infected stages using light microscopic images of thin blood smears

(2014) D. K. DAS et al.   JOURNAL OF MICROSCOPY

A Malaria Diagnostic Tool Based on Computer Vision Screening and Visualization of Plasmodium falciparum Candidate Areas in Digitized Blood Smears

(2014) Nina Linder et al.   PLoS One

Machine learning approach for automated screening of malaria parasite using light microscopic images

(2012) Dev Kumar Das et al.   MICRON

Real-time PCR assay and rapid diagnostic tests for the diagnosis of clinically suspected malaria patients in Bangladesh

(2011) Mohammad Shafiul Alam et al.   MALARIA JOURNAL

A novel hybrid CNN–SVM classifier for recognizing handwritten digits

(2011) Xiao-Xiao Niu et al.   PATTERN RECOGNITION

Parasite detection and identification for automated thin blood film malaria diagnosis

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

Image Segmentation Using Gray-Scale Morphology and Marker-Controlled Watershed Transformation

(2009) K. Parvati et al.   DISCRETE DYNAMICS IN NATURE AND SOCIETY

A semi-automatic method for quantification and classification of erythrocytes infected with malaria parasites in microscopic images

(2009) Gloria Díaz et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Computer vision for microscopy diagnosis of malaria

(2009) F Boray Tek et al.   MALARIA JOURNAL