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 …

An automated method for counting red blood cells using image processing

GK Chadha, A Srivastava, A Singh, R Gupta… - Procedia Computer …, 2020 - Elsevier
In healthcare, blood testing is observed to be as one of the most significant medical
examination tests. In pathology labs, different types of blood cells are counted to diagnose …

Identification of abnormal red blood cells and diagnosing specific types of anemia using image processing and support vector machine

CC Hortinela, JR Balbin, JC Fausto… - 2019 IEEE 11th …, 2019 - ieeexplore.ieee.org
Blood is an important liquid that supports performs important functions for human. The
general components of human blood are RBCs, WBCs, plasma, and platelets. Whereas …

Morphological, texture, and color feature analysis for erythrocyte classification in thalassemia cases

DA Tyas, S Hartati, A Harjoko, T Ratnaningsih - IEEE access, 2020 - ieeexplore.ieee.org
Abnormal erythrocytes have diverse shapes. The appearance of specific erythrocyte shapes
in a person's blood can indicate certain diseases, including thalassemia. We used …

Faster R-CNN model with momentum optimizer for RBC and WBC variants classification

RR Tobias, LC De Jesus, ME Mital… - 2020 IEEE 2nd …, 2020 - ieeexplore.ieee.org
Since many diseases and infections are dependent on the count and type of Red Blood
Cells (RBCs) and White Blood Cells (WBCs) present in the blood stream, detection and …

Red blood cell classification based on attention residual feature pyramid network

W Song, P Huang, J Wang, Y Shen, J Zhang… - Frontiers in …, 2021 - frontiersin.org
Clinically, red blood cell abnormalities are closely related to tumor diseases, red blood cell
diseases, internal medicine, and other diseases. Red blood cell classification is the key to …

Red blood cell classification: deep learning architecture versus support vector machine

HA Aliyu, R Sudirman, MAA Razak… - … on biosignal analysis …, 2018 - ieeexplore.ieee.org
In medical field, the classification of red blood cells (RBCs) are used as an indicator to
classify the type of abnormality presence in RBCs. The problem of classifying abnormal cells …

[PDF][PDF] Normal and abnormal red blood cell recognition using image processing

HA Aliyu, MAA Razak, R Sudirman - Indonesian Journal of Electrical …, 2019 - academia.edu
In medical field, the recognition of red blood cells (RBC) is used as an indicator to detect the
type of diseases such as anaemia, malaria and leukaemia etc. The problems using manual …

The classification of abnormal red blood cell on the minor thalassemia case using artificial neural network and convolutional neural network

DA Tyas, T Ratnaningsih, A Harjoko… - Proceedings of the …, 2017 - dl.acm.org
The morphological disorder of the red blood cell is one of the indications of a certain type of
diseases. On the minor thalassemia, such cases like the erythrocyte having a nucleus, a few …

Development of abnormal red blood cells classifier using image processing techniques with support vector machine

CC Hortinela IV, JC Fausto, FL Valiente… - Proceedings of the …, 2020 - dl.acm.org
In some studies conducted from the medical field, the abnormality in the morphological
structure of red blood cells is used as an indicator of blood related diseases and conditions …