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 …

Classification of acute lymphoblastic leukemia using deep learning

A Rehman, N Abbas, T Saba… - Microscopy …, 2018 - Wiley Online Library
Acute Leukemia is a life‐threatening disease common both in children and adults that can
lead to death if left untreated. Acute Lymphoblastic Leukemia (ALL) spreads out in children's …

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 …

Acute lymphoblastic leukemia segmentation using local pixel information

SS Al-jaboriy, NNA Sjarif, S Chuprat… - Pattern Recognition …, 2019 - Elsevier
The severity of acute lymphoblastic leukemia depends on the percentages of blast cells
(abnormal white blood cells) in bone marrow or peripheral blood. The manual microscopic …

Leukocytes image classification using optimized convolutional neural networks

M Hosseini, D Bani-Hani, SS Lam - Expert Systems with Applications, 2022 - Elsevier
Hematologic diseases and blood disorders can be studied through the microscopic or
chemical examination of blood smear images. Many researchers work on identifying …

Split and merge watershed: A two-step method for cell segmentation in fluorescence microscopy images

M Gamarra, E Zurek, HJ Escalante, L Hurtado… - … signal processing and …, 2019 - Elsevier
The development of advanced techniques in medical imaging has allowed scanning of the
human body to microscopic levels, making research on cell behavior more complex and …

An indeterminacy fusion of encoder-decoder network based on neutrosophic set for white blood cells segmentation

Y Guo, AI Shahin, H Garg - Expert Systems with Applications, 2024 - Elsevier
Medical image analysis, particularly the segmentation of White Blood Cells (WBCs), holds
critical importance in scrutinizing the quantity and morphology of these cells in smear …

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 …

Computer aided detection and classification of acute lymphoblastic leukemia cell subtypes based on microscopic image analysis

M MoradiAmin, A Memari… - Microscopy research …, 2016 - Wiley Online Library
Acute lymphoblastic leukemia (ALL) is a cancer that starts from the early version of white
blood cells called lymphocytes in the bone marrow. It can spread to different parts of the …