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

Robust Method for Semantic Segmentation of Whole-Slide Blood Cell Microscopic Images

(2020) Muhammad Shahzad et al.   Computational and Mathematical Methods in Medicine

Deep Learning Models for Classification of Red Blood Cells in Microscopy Images to Aid in Sickle Cell Anemia Diagnosis

(2020) Laith Alzubaidi et al.   Electronics

Detection of red and white blood cells from microscopic blood images using a region proposal approach

(2019) Cecilia Di Ruberto et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Peripheral blood smear analysis using image processing approach for diagnostic purposes: A review

(2018) Roopa B. Hegde et al.   Biocybernetics and Biomedical Engineering

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Pilot Study on the Performance of a New System for Image Based Analysis of Peripheral Blood Smears on Normal Samples

(2017) Preethi S. Chari et al.   INDIAN JOURNAL OF HEMATOLOGY AND BLOOD TRANSFUSION

Automated three-dimensional morphology-based clustering of human erythrocytes with regular shapes: stomatocytes, discocytes, and echinocytes

(2017) Ezat Ahmadzadeh et al.   JOURNAL OF BIOMEDICAL OPTICS

Anaemia cells detection based on shape signature using neural networks

(2017) Hany A. Elsalamony   MEASUREMENT

Identification and red blood cell automated counting from blood smear images using computer-aided system

(2017) Vasundhara Acharya et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Detection of anaemia disease in human red blood cells using cell signature, neural networks and SVM

(2017) Hany A. Elsalamony   MULTIMEDIA TOOLS AND APPLICATIONS

Machine learning approaches to the application of disease modifying therapy for sickle cell using classification models

(2017) Mohammed Khalaf et al.   NEUROCOMPUTING

Pilot Study on the Performance of a New System for Image Based Analysis of Peripheral Blood Smears on Normal Samples

(2017) Preethi S. Chari et al.   Indian Journal of Hematology and Blood Transfusion

A deep convolutional neural network for classification of red blood cells in sickle cell anemia

(2017) Mengjia Xu et al.   PLoS Computational Biology

Healthy and unhealthy red blood cell detection in human blood smears using neural networks

(2016) Hany A. Elsalamony   MICRON

Erythrocyte shape classification using integral-geometry-based methods

(2015) X. Gual-Arnau et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

A counting method for complex overlapping erythrocytes-based microscopic imaging

(2015) Xudong Wei et al.   Journal of Innovative Optical Health Sciences

Red Blood Cell Cluster Separation From Digital Images for Use in Sickle Cell Disease

(2015) Manuel Gonzalez-Hidalgo et al.   IEEE Journal of Biomedical and Health Informatics

Automatic Detection and Quantification of WBCs and RBCs Using Iterative Structured Circle Detection Algorithm

(2014) Yazan M. Alomari et al.   Computational and Mathematical Methods in Medicine

Cell morphology based classification for red cells in blood smear images

(2014) Howard Lee et al.   PATTERN RECOGNITION LETTERS

Automated segmentation of blood cells in Giemsa stained digitized thin blood films

(2013) Margarita Walliander et al.   Diagnostic Pathology

Red blood cell morphology

(2013) J. Ford   International Journal of Laboratory Hematology

Automatic image segmentation and classification based on direction texton technique for hemolytic anemia in thin blood smears

(2013) Hung-Ming Chen et al.   MACHINE VISION AND APPLICATIONS

Quantitative microscopy approach for shape-based erythrocytes characterization in anaemia

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

Structural and textural classification of erythrocytes in anaemic cases: A scanning electron microscopic study

(2012) Sirsendu Bhowmick et al.   MICRON

White Blood Cell Segmentation for Acute Leukemia Bone Marrow Images

(2012) Lim Huey Nee et al.   Journal of Medical Imaging and Health Informatics

Classification of complete blood count and haemoglobin typing data by a C4.5 decision tree, a naïve Bayes classifier and a multilayer perceptron for thalassaemia screening

(2011) Damrongrit Setsirichok et al.   Biomedical Signal Processing and Control

Image Analysis Approach for Development of a Decision Support System for Detection of Malaria Parasites in Thin Blood Smear Images

(2011) Keerthana Prasad et al.   JOURNAL OF DIGITAL IMAGING

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

Worldwide prevalence of anaemia, WHO Vitamin and Mineral Nutrition Information System, 1993–2005

(2008) Erin McLean et al.   PUBLIC HEALTH NUTRITION