Automated image processing method for the diagnosis and classification of malaria on thin blood smears.
about
An image analysis algorithm for malaria parasite stage classification and viability quantificationA novel semi-automatic image processing approach to determine Plasmodium falciparum parasitemia in Giemsa-stained thin blood smears.Computer vision for microscopy diagnosis of malaria.Development and optimization of a novel 384-well anti-malarial imaging assay validated for high-throughput screeningClinical microbiology informatics.An automatic device for detection and classification of malaria parasite species in thick blood film.Application of principal component analysis to multispectral-multimodal optical image analysis for malaria diagnostics.Chagas parasite detection in blood images using AdaBoost.The application of biomedical engineering techniques to the diagnosis and management of tropical diseases: a review.Automated estimation of parasitaemia of Plasmodium yoelii-infected mice by digital image analysis of Giemsa-stained thin blood smears.Computational microscopic imaging for malaria parasite detection: a systematic review.Automated and unsupervised detection of malarial parasites in microscopic imagesBlood Smear Image Based Malaria Parasite and Infected-Erythrocyte Detection and Segmentation.Efficient leukocyte segmentation and recognition in peripheral blood image.Automatic detection and classification of leukocytes using convolutional neural networks.Modified global and modified linear contrast stretching algorithms: new colour contrast enhancement techniques for microscopic analysis of malaria slide images.A portable image-based cytometer for rapid malaria detection and quantification.Comparison of Texture Features Used for Classification of Life Stages of Malaria Parasite.Improving quantitation of malaria parasite burden with digital image analysis.Image-based systems biology of infection.Review of TelemicrobiologyEffect of fuzzy partitioning in Crohn's disease classification: a neuro-fuzzy-based approach.Automatic disease screening method using image processing for dried blood microfluidic drop stain pattern recognition.High-throughput and label-free parasitemia quantification and stage differentiation for malaria-infected red blood cells.Automatic diagnosis of malaria based on complete circle-ellipse fitting search algorithm.Erythrocyte shape classification using integral-geometry-based methods.Cell segmentation in histopathological images with deep learning algorithms by utilizing spatial relationships.Feasibility of flow cytometry for measurements of Plasmodium falciparum parasite burden in studies in areas of malaria endemicity by use of bidimensional assessment of YOYO-1 and autofluorescence.Image analysis approach for development of a decision support system for detection of malaria parasites in thin blood smear images.Web-Enabled Distributed Health-Care Framework for Automated Malaria Parasite Classification: an E-Health Approach.Image analysis and machine learning for detecting malaria.Plasmodium species differentiation by non-expert on-line volunteers for remote malaria field diagnosis.Recent Advances of Malaria Parasites Detection Systems Based on Mathematical Morphology.Integrated local binary pattern texture features for classification of breast tissue imaged by optical coherence microscopy.Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images.Understanding the learned behavior of customized convolutional neural networks toward malaria parasite detection in thin blood smear imagesParasite and Infected-Erythrocyte Image Segmentation in Stained Blood SmearsA review on automated diagnosis of malaria parasite in microscopic blood smears imagesAutomated microscopy for routine malaria diagnosis: a field comparison on Giemsa-stained blood films in Peru
P2860
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P2860
Automated image processing method for the diagnosis and classification of malaria on thin blood smears.
description
2006 nî lūn-bûn
@nan
2006 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2006 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
name
Automated image processing met ...... malaria on thin blood smears.
@ast
Automated image processing met ...... malaria on thin blood smears.
@en
Automated image processing met ...... malaria on thin blood smears.
@nl
type
label
Automated image processing met ...... malaria on thin blood smears.
@ast
Automated image processing met ...... malaria on thin blood smears.
@en
Automated image processing met ...... malaria on thin blood smears.
@nl
prefLabel
Automated image processing met ...... malaria on thin blood smears.
@ast
Automated image processing met ...... malaria on thin blood smears.
@en
Automated image processing met ...... malaria on thin blood smears.
@nl
P2093
P921
P1476
Automated image processing met ...... f malaria on thin blood smears
@en
P2093
Adriano G Dusé
Charles J Pritchard
Nicholas E Ross
P304
P356
10.1007/S11517-006-0044-2
P577
2006-04-08T00:00:00Z