| P50 | author | Dev Kumar Das | Q56751286 |
| P2093 | author name string | R Mukherjee | |
| | C Chakraborty | |
| P2860 | cites work | Rapid diagnostic tests for malaria parasites | Q24532720 |
| | A rapid method for counting nucleated erythrocytes on stained blood smears by digital image analysis | Q28281184 |
| | Human infections and detection of Plasmodium knowlesi | Q28709120 |
| | Reliable enumeration of malaria parasites in thick blood films using digital image analysis | Q30484264 |
| | Automated image processing method for the diagnosis and classification of malaria on thin blood smears. | Q33255580 |
| | A novel semi-automatic image processing approach to determine Plasmodium falciparum parasitemia in Giemsa-stained thin blood smears | Q33326166 |
| | Computer vision for microscopy diagnosis of malaria | Q33481301 |
| | Assessment of the risk factors of coronary heart events based on data mining with decision trees | Q33523650 |
| | Methods for the detection of blood parasites | Q34049870 |
| | Color capable sub-pixel resolving optofluidic microscope and its application to blood cell imaging for malaria diagnosis | Q34056040 |
| | A malaria diagnostic tool based on computer vision screening and visualization of Plasmodium falciparum candidate areas in digitized blood smears | Q34075376 |
| | Distributed medical image analysis and diagnosis through crowd-sourced games: a malaria case study | Q34273942 |
| | Crowdsourcing malaria parasite quantification: an online game for analyzing images of infected thick blood smears | Q34496004 |
| | An automatic device for detection and classification of malaria parasite species in thick blood film | Q34529513 |
| | Automated estimation of parasitaemia of Plasmodium yoelii-infected mice by digital image analysis of Giemsa-stained thin blood smears | Q35632343 |
| | Automated and unsupervised detection of malarial parasites in microscopic images | Q35662937 |
| | Improving quantitation of malaria parasite burden with digital image analysis | Q37178027 |
| | An informatics model for guiding assembly of telemicrobiology workstations for malaria collaborative diagnostics using commodity products and open-source software | Q37284080 |
| | Malaria diagnosis: a brief review | Q37504723 |
| | An automatic vision-based malaria diagnosis system | Q38095488 |
| | Comparing Leishman and Giemsa staining for the assessment of peripheral blood smear preparations in a malaria-endemic region in India | Q39432657 |
| | Investigation of a novel approach to scoring Giemsa-stained malaria-infected thin blood films | Q39843749 |
| | Automatic diagnosis of malaria based on complete circle-ellipse fitting search algorithm. | Q40142060 |
| | Automated system for characterization and classification of malaria-infected stages using light microscopic images of thin blood smears | Q41591335 |
| | Image analysis approach for development of a decision support system for detection of malaria parasites in thin blood smear images. | Q42224306 |
| | Machine learning approach for automated screening of malaria parasite using light microscopic images | Q45112157 |
| | Active contours without edges | Q46785979 |
| | Quality and reliability of current malaria diagnostic methods. | Q47824021 |
| | A semi-automatic method for quantification and classification of erythrocytes infected with malaria parasites in microscopic images. | Q47893253 |
| | MalariaCount: an image analysis-based program for the accurate determination of parasitemia | Q48032469 |
| | Efficient statistical classification of satellite measurements | Q54052334 |
| | The deformability of red blood cells parasitized by Plasmodium falciparum and P. vivax | Q56445317 |
| | Mobile support for diagnosis of communicable diseases in remote locations | Q58876580 |
| | Automated segmentation of blood cells in Giemsa stained digitized thin blood films | Q59298558 |
| P433 | issue | 1 | |
| P921 | main subject | systematic review | Q1504425 |
| | malaria | Q12156 |
| P304 | page(s) | 1-19 | |
| P577 | publication date | 2015-06-05 | |
| P1433 | published in | Journal of Microscopy | Q6295564 |
| P1476 | title | Computational microscopic imaging for malaria parasite detection: a systematic review | |
| P478 | volume | 260 | |