Erythrocyte shape classification using integral-geometry-based methods

Automated segmentation of multiple red blood cells with digital holographic microscopy

(2013) Faliu Yi et al.   JOURNAL OF BIOMEDICAL OPTICS

Shape description from generalized support functions

(2013) X. Gual-Arnau et al.   PATTERN RECOGNITION LETTERS

Quantitative microscopy approach for shape-based erythrocytes characterization in anaemia

(2012) D.K. DAS et al.   JOURNAL OF MICROSCOPY

Recognition and classification of red blood cells using digital holographic microscopy and data clustering with discriminant analysis

(2011) Ran Liu et al.   JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION

Multi-shape erythrocyte deformability analysis by imaging technique

(2010) Sanjay Jayavanth et al.   Journal of Mechanical Science and Technology

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

Statistical Dynamics of Flowing Red Blood Cells by Morphological Image Processing

(2009) John M. Higgins et al.   PLoS Computational Biology

A novel semi-automatic image processing approach to determine Plasmodium falciparum parasitemia in Giemsa-stained thin blood smears

(2008) Minh-Tam Le et al.   BMC CELL BIOLOGY