Machine learning in detection and classification of leukemia using C-NMC_Leukemia

FM Talaat, SA Gamel - Multimedia Tools and Applications, 2024 - Springer
A significant issue in the field of illness diagnostics is the early detection and diagnosis of
leukemia, that is, the accurate distinction of malignant leukocytes with minimal costs in the …

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 …

Deep transfer learning in diagnosing leukemia in blood cells

M Loey, M Naman, H Zayed - Computers, 2020 - mdpi.com
Leukemia is a fatal disease that threatens the lives of many patients. Early detection can
effectively improve its rate of remission. This paper proposes two automated classification …

Automated analysis of blood smear images for leukemia detection: a comprehensive review

A Mittal, S Dhalla, S Gupta, A Gupta - ACM Computing Surveys (CSUR), 2022 - dl.acm.org
Leukemia, the malignancy of blood-forming tissues, becomes fatal if not detected in the early
stages. It is detected through a blood smear test that involves the morphological analysis of …

Morphological, texture, and color feature analysis for erythrocyte classification in thalassemia cases

DA Tyas, S Hartati, A Harjoko, T Ratnaningsih - IEEE access, 2020 - ieeexplore.ieee.org
Abnormal erythrocytes have diverse shapes. The appearance of specific erythrocyte shapes
in a person's blood can indicate certain diseases, including thalassemia. We used …

Detection of acute lymphoblastic leukemia by utilizing deep learning methods

GV Surya Sashank, C Jain… - Machine vision and …, 2021 - Springer
Leukemia is a deadly illness that compromises the lives of numerous patients throughout the
world. Leukemia does not shape strong tumors, yet structures a huge number of anomalous …

A high-resolution large-scale dataset of pathological and normal white blood cells

A Bodzas, P Kodytek, J Zidek - Scientific Data, 2023 - nature.com
Microscopic examination plays a significant role in the initial screening for a variety of
hematological, as well as non-hematological, diagnoses. Microscopic blood smear …

Hematologic cancer detection using white blood cancerous cells empowered with transfer learning and image processing

MU Nasir, MF Khan, MA Khan, M Zubair… - Journal of …, 2023 - Wiley Online Library
Lymphoma and leukemia are fatal syndromes of cancer that cause other diseases and affect
all types of age groups including male and female, and disastrous and fatal blood cancer …

[PDF][PDF] Automatic leukaemia segmentation approach for blood cancer classification using microscopic images

A Sharma, D Prashar, AA Khan, FA Khan… - … Materials & Continua, 2022 - cdn.techscience.cn
Leukaemia is a type of blood cancer that is caused by undeveloped White Blood Cells
(WBC), and it is also called a blast blood cell. In the marrow of human bones, leukaemia is …

[HTML][HTML] WBC-based segmentation and classification on microscopic images: a minor improvement

XH Lam, KW Ng, YJ Yoong, SB Ng - F1000Research, 2021 - ncbi.nlm.nih.gov
Methods A triple thresholding method was proposed to segment the WBCs; meanwhile, a
convolutional neural network (CNN)-based binary classification model that adopts transfer …