Analysis of red blood cells from peripheral blood smear images for anemia detection: a methodological review

N KT, K Prasad, BMK Singh - Medical & biological engineering & …, 2022 - Springer
Anemia is a blood disorder which is caused due to inadequate red blood cells and
hemoglobin concentration. It occurs in all phases of life cycle but is more dominant in …

A review of automated methods for the detection of sickle cell disease

PK Das, S Meher, R Panda… - IEEE reviews in …, 2019 - ieeexplore.ieee.org
Detection of sickle cell disease is a crucial job in medical image analysis. It emphasizes
elaborate analysis of proper disease diagnosis after accurate detection followed by a …

Red blood cell cluster separation from digital images for use in sickle cell disease

M Gonzalez-Hidalgo, FA Guerrero-Pena… - IEEE journal of …, 2014 - ieeexplore.ieee.org
The study of cell morphology is an important aspect of the diagnosis of some diseases, such
as sickle cell disease, because red blood cell deformation is caused by these diseases. Due …

Diagnosis support of sickle cell anemia by classifying red blood cell shape in peripheral blood images

W Delgado-Font, M Escobedo-Nicot… - Medical & biological …, 2020 - Springer
Red blood cell (RBC) deformation is the consequence of several diseases, including sickle
cell anemia, which causes recurring episodes of pain and severe pronounced anemia …

Quantitative microscopy approach for shape‐based erythrocytes characterization in anaemia

DK Das, C Chakraborty, B Mitra, AK Maiti… - Journal of …, 2013 - Wiley Online Library
Anaemia is one of the most common diseases in the world population. Primarily anaemia is
identified based on haemoglobin level; and then microscopically examination of peripheral …

Erythrocyte shape classification using integral-geometry-based methods

X Gual-Arnau, S Herold-García, A Simó - Medical & biological engineering …, 2015 - Springer
Erythrocyte shape deformations are related to different important illnesses. In this paper, we
focus on one of the most important: the Sickle cell disease. This disease causes the …

Geometric analysis of planar shapes with applications to cell deformations

X Gual-Arnau, S Herold-García, A Simó - 2015 - repositori.uji.es
Shape analysis is of great importance in many fields such as computer vision, medical
imaging, and computational biology. In this paper we focus on a shape space in which …

A novel segmentation approach for noisy medical images using Intuitionistic fuzzy divergence with neighbourhood‐based membership function

A Jati, G Singh, S Koley, A Konar, AK Ray… - Journal of …, 2015 - Wiley Online Library
Medical image segmentation demands higher segmentation accuracy especially when the
images are affected by noise. This paper proposes a novel technique to segment medical …

Identification of erythrocyte types in greyscale MGG images for computer-assisted diagnosis

D Frejlichowski - Pattern Recognition and Image Analysis: 5th Iberian …, 2011 - Springer
In the paper an algorithm for the recognition of erythrocytes is presented and experimentally
evaluated. The objects of interest are localised and extracted from digital microscopic …

Morphological analysis of cells by means of an elastic metric in the shape space

I Epifanio, X Gual-Arnau, S Herold-Garcia - 2020 - repositori.uji.es
Shape analysis is of great importance in many fields, such as computer vision, medical
imaging, and computational biology. This analysis can be performed considering shapes as …