[HTML][HTML] 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 …

[HTML][HTML] Deep learning models for classification of red blood cells in microscopy images to aid in sickle cell anemia diagnosis

L Alzubaidi, MA Fadhel, O Al-Shamma, J Zhang… - Electronics, 2020 - mdpi.com
Sickle cell anemia, which is also called sickle cell disease (SCD), is a hematological
disorder that causes occlusion in blood vessels, leading to hurtful episodes and even death …

Detection and classification of leukocytes in blood smear images: State of the art and challenges

RV Tali, S Borra, M Mahmud - International Journal of Ambient …, 2021 - igi-global.com
Manual analysis of microscopic blood smears by highly expert pathologists is labor-
intensive, time-consuming, and is subject to inter-observer variations. Recent innovations in …

Identification and red blood cell classification using computer aided system to diagnose blood disorders

V Acharya, P Kumar - 2017 International Conference on …, 2017 - ieeexplore.ieee.org
Red blood cell count plays a vital role in identifying the overall health of the patient. Mature
Red blood cells undergo morphological changes when blood disorder exists. Automated …

Image processing techniques to identify red blood cells

N Safca, D Popescu, L Ichim, H Elkhatib… - … conference on system …, 2018 - ieeexplore.ieee.org
This paper presents a method for the automatic identification and classification of red cells in
different classes of interest for diagnosis using microscopic images of blood smear. The …

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 …

Microscopic blood smear RBC classification using PCA and SVM based Machine Learning

P Kannadaguli - 2020 Third International Conference on …, 2020 - ieeexplore.ieee.org
The therapeutic analysis f microscopic blood smear begins with recognizing blood cells f
various categories as well as estimating cell count in blood sample. The distinctive blood …

[PDF][PDF] Automatic blood cancer detection using image processing

C Yadav, S Zele, MT Patil, MV Bombadi… - International Journal of …, 2018 - academia.edu
Microscopic pictures are reviewed visually by hematologists and the procedure is tedious
and time taking which causes late detection. Therefore, automatic image handling …

[图书][B] Sickle blood cell detection based on image segmentation

K Alotaibi - 2016 - search.proquest.com
Red blood cells have a vital role in human health. Red blood cells have a circular shape and
a concave surface and exchange the gasses between the inside and outside of the body …

[HTML][HTML] Using Transfer Learning to Train a Binary Classifier for Lorrca Ektacytometery Microscopic Images of Sickle Cells and Healthy Red Blood Cells

M Butt, A de Keijzer - Data, 2022 - mdpi.com
Multiple blood images of stressed and sheared cells, taken by a Lorrca Ektacytometery
microscope, needed a classification for biomedical researchers to assess several treatment …