[HTML][HTML] A review of microscopic analysis of blood cells for disease detection with AI perspective

NM Deshpande, S Gite, R Aluvalu - PeerJ Computer Science, 2021 - peerj.com
Background Any contamination in the human body can prompt changes in blood cell
morphology and various parameters of cells. The minuscule images of blood cells are …

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 …

An Ensemble Models for the Prediction of Sickle Cell Disease from Erythrocytes Smears

OB Ayoade, TO Oladele, AL Imoize… - … on Pervasive Health …, 2023 - publications.eai.eu
INTRODUCTION: The human blood as a collection of tissues containing Red Blood Cells
(RBCs), circular in shape and acting as an oxygen carrier, are frequently deformed by …

DCBC_DeepL: Detection and Counting of Blood Cells Employing Deep Learning and YOLOv5 Model

MA Rahaman, MM Ali, MN Hossen, M Nayer… - … Conference on Artificial …, 2021 - Springer
Blood cell identification and counting is critical for doctors and physicians nowadays in order
to diagnose and treat a variety of disorders. Platelet identification and counting are …

Automatic classification of erythrocytes using artificial neural networks and integral geometry-based functions

Y Paz-Soto, S Herold-Garcia… - 2020 33rd SIBGRAPI …, 2020 - ieeexplore.ieee.org
The red blood cell deformation caused by disorders like sickle cell disease can be assessed
by observing blood samples under a microscope. This manual process is cumbersome and …

[PDF][PDF] Analysis of morphological changes in erythrocytes in malaria by shape descriptors prior to and after antimalarial drugs.

M Edison, JB Jeeva, M Singh - Current Science (00113891), 2024 - researchgate.net
In this study, malarial patients (n= 80) were treated for three days with artesunate and
amodiaquine (ASAQ). Twenty healthy individuals in a similar age range were chosen as the …

Sickle cell segmentation and classification for thalassemia aid diagnosis

YS Leow, KW Ng, YJ Yoong, SB Ng - F1000Research, 2021 - f1000research.com
Background: Thalassemia is a hereditary blood disease in which abnormal red blood cells
(RBCs) carry insufficient oxygen throughout the body. Conventional methods of thalassemia …

[PDF][PDF] Detection and classification of abnormal red blood cells with computational intelligence techniques: a review

FDA Silva, EB Severo, VHA Ribeiro… - … E TecnolóGica Do …, 2022 - pdfs.semanticscholar.org
Red blood cells (RBCs), or erythrocytes, are usually disc-shaped. However, pathological
conditions can change their shape. The complete blood count (CBC) is a test that can detect …