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 …

Automated diagnosis of leukemia: a comprehensive review

A Shah, SS Naqvi, K Naveed, N Salem… - IEEE …, 2021 - ieeexplore.ieee.org
Leukemia is the rapid production of abnormal white blood cells that consequently affects the
blood and damages the bone marrow. The overproduction of abnormal and immature white …

Semi-supervised superpixel classification for medical images segmentation: application to detection of glaucoma disease

MEA Bechar, N Settouti, V Barra, MA Chikh - … Systems and Signal …, 2018 - Springer
Glaucoma is a disease characterized by damaging the optic nerve head, this can result in
severe vision loss. An early detection and a good treatment provided by the ophthalmologist …

Instances selection algorithm by ensemble margin

M Saidi, MEA Bechar, N Settouti… - Journal of Experimental & …, 2018 - Taylor & Francis
The main limit of data mining algorithms is their inability to deal with the huge amount of
available data in a reasonable processing time. A solution of producing fast and accurate …

Modified U‐Net for cytological medical image segmentation

M Benazzouz, ML Benomar… - International Journal of …, 2022 - Wiley Online Library
Deep learning–based medical image segmentation is henceforth widely established as a
powerful segmentation process. This article proposes a new U‐Net architecture based on a …

Multi-feature-based approach for white blood cells segmentation and classification in peripheral blood and bone marrow images

ML Benomar, A Chikh, X Descombes… - International …, 2021 - inderscienceonline.com
In this paper, we propose a complete automated framework for white blood cells differential
count in peripheral blood and bone marrow images, in order to reduce the analysis time and …

A comparison of U-net backbone architectures for the automatic white blood cells segmentation

MH BENDIABDALLAH… - WAS Science Nature …, 2021 - worldascience.org
Reliable recognition of white blood cells is an essential step in the diagnosis of several
types of cancer. Therefore, the segmentation of white blood cells plays an essential role and …

An instance and variable selection approach in pixel-based classification for automatic white blood cells segmentation

N Settouti, M Saidi, MEA Bechar… - Pattern Analysis and …, 2020 - Springer
Instance and variable selection involve identifying a subset of instances and variables such
that the learning process will use only this subset with better performances and lower cost …

An optimised pixel-based classification approach for automatic white blood cells segmentation

N Settouti, MEA Bechar, MEH Daho… - … Journal of Biomedical …, 2020 - inderscienceonline.com
The pixel-based classification is an automatic approach for classifying all pixels in the image
but does not take into account the spatial information for the region of interest. On the other …

Influence of normalization and color features on super-pixel classification: application to cytological image segmentation

MEA Bechar, N Settouti, MEH Daho, M Adel… - Australasian physical & …, 2019 - Springer
Super-pixel feature extraction is a key problem to get an acceptable performance in color
super-pixel classification. Given a color feature extraction problem, it is necessary to know …