Machine learning in detection and classification of leukemia using smear blood images: a systematic review

M Ghaderzadeh, F Asadi, A Hosseini… - Scientific …, 2021 - Wiley Online Library
Introduction. The early detection and diagnosis of leukemia, ie, the precise differentiation of
malignant leukocytes with minimum costs in the early stages of the disease, is a major …

A survey on image segmentation of blood and bone marrow smear images with emphasis to automated detection of Leukemia

KK Anilkumar, VJ Manoj, TM Sagi - Biocybernetics and Biomedical …, 2020 - Elsevier
Leukemia is an abnormal proliferation of leukocytes in the bone marrow and blood and it is
usually diagnosed by the pathologists by observing the blood smear under a microscope …

[HTML][HTML] A decision support system for Acute Leukaemia classification based on digital microscopic images

AS Negm, OA Hassan, AH Kandil - Alexandria engineering journal, 2018 - Elsevier
In the era of digital microscopic imaging, Image Processing, data analysis, classification,
decision support systems have emerged as one of the most important tools for diagnostic …

Computer aided system for red blood cell classification in blood smear image

R Tomari, WNW Zakaria, MMA Jamil, FM Nor… - Procedia Computer …, 2014 - Elsevier
In vitro identification and counting of red blood cells (RBCs) is very important to diagnose
blood related diseases such as malaria and anemia before a proper treatment can be …

Microscopic malaria parasitemia diagnosis and grading on benchmark datasets

A Rehman, N Abbas, T Saba… - Microscopy research …, 2018 - Wiley Online Library
Malaria parasitemia diagnosis and grading is hard and still far from perfection. Inaccurate
diagnosis and grading has caused tremendous deaths rate particularly in young children …

[HTML][HTML] Segmentation and classification of bone marrow cells images using contextual information for medical diagnosis of acute leukemias

C Reta, L Altamirano, JA Gonzalez, R Diaz-Hernandez… - PloS one, 2015 - journals.plos.org
Morphological identification of acute leukemia is a powerful tool used by hematologists to
determine the family of such a disease. In some cases, experienced physicians are even …

Automatic classification of leukocytes using morphological features and naïve Bayes classifier

A Gautam, P Singh, B Raman… - 2016 IEEE region 10 …, 2016 - ieeexplore.ieee.org
In human body, different types of diseases can be found while examining blood samples. In
this paper, the main aim is to detect leukocytes from human blood. These leukocytes protect …

Cell morphology based classification for red cells in blood smear images

H Lee, YPP Chen - Pattern Recognition Letters, 2014 - Elsevier
Red blood cells are the most common type of blood cell and are responsible of delivering
oxygen to the body tissues. Abnormalities in red blood cell may change the physical …

[PDF][PDF] Automatic detection of malaria parasites for estimating parasitemia

SS Savkare, SP Narote - International Journal of Computer Science and …, 2011 - Citeseer
Malaria parasitemia is a measurement of the amount of Malaria parasites in the patient's
blood and an indicator for the degree of infection. In this paper an automatic technique is …

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

RB Hegde, K Prasad, H Hebbar, I Sandhya - … and Biomedical Engineering, 2018 - Elsevier
Peripheral blood smear analysis is a common practice to evaluate health status of a person.
Many disorders such as malaria, anemia, leukemia, thrombocytopenia, sickle cell anemia …