Leukemia classification using a convolutional neural network of AML images

KA Kadhim, FH Najjar, AA Waad… - Malaysian Journal of …, 2023 - mjfas.utm.my
Among the most pressing issues in the field of illness diagnostics is identifying and
diagnosing leukemia at its earliest stages, which requires accurate distinction of malignant …

Applications of deep learning in acute leukemia detection-a review

S Chand, VP Vishwakarma - AIP Conference Proceedings, 2023 - pubs.aip.org
Leukemia falls in the category of life-threatening disease. Moreover, it is difficult to detect it in
its initial stage, so its prognosis and treatment becomes even more difficult. Machine …

Automatic early detection and classification of leukemia from microscopic blood image

KD Gebremeskel, TC Kwa, KH Raj… - Abyssinia Journal of …, 2021 - abjol.org.et
Leukemia is a form of blood cancer that affects white blood cells, and is one of the leading
causes of death among humans. Currently, diagnosis of leukemia is done through visual …

[PDF][PDF] Multi Distance and Angle Models of the Gray Level Co-occurrence Matrix (GLCM) to Extract the Acute Lymphoblastic Leukemia (ALL) Images.

A Muntasa, M Yusuf - International Journal of Intelligent Engineering & …, 2021 - inass.org
Acute Lymphoblastic Leukemia (ALL) is one of the most dangerous cancer diseases.
Therefore, it is necessary to classify this disease accurately. We proposed a method to …

Comparison of segmentation algorithms for leukemia classification

S Chand, VP Vishwakarma - … of the First International Conference on …, 2021 - eudl.eu
Leukemia is a deadly cancer that results from the proliferation of non-differentiated white
blood cells in blood as compared to the other two types of cells, ie, red blood cells and …

Detection of acute lymphoblastic leukaemia using extreme learning machine based on deep features from microscopic blood cell images

S Chand - International Journal of Biomedical Engineering …, 2024 - inderscienceonline.com
Leukaemia is the medical term for blood cancer. This paper proposes an automatic disease
diagnosis model to detect leukaemia from microscopic blood cell images by classifying …

Leukemia diagnosis using computational intelligence

S Chand, VP Vishwakarma - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
Leukemia is a fatal disease that is commonly found in children and also in adults above 55
years of age. It is also known as cancer of blood or bone marrow.[1] It can be categorized …

Detection of leukemia using K-means clustering and machine learning

VL Thanmayi A, SD Reddy, S Kochuvila - Ubiquitous Communications and …, 2021 - Springer
Leukemia or blood cancer is a common and serious disease across countries which is
caused due to the sudden increase in White Blood Cells (WBCs) in blood. This increase in …

Comparison of Accuracy of Color Spaces in Cell Features Classification in Images of Leukemia types ALL and MM

ED Angel, A Femat-Diaz - Revista mexicana de ingeniería …, 2022 - scielo.org.mx
This study presents a methodology for identifying the color space that provides the best
performance in an image processing application. When measurements are performed …

Acute myeloid leukemia diagnosis using deep learning

EM Nagiub, KF Hussain, NM Omar… - The Egyptian Journal …, 2020 - journals.lww.com
Background Early disease detection has a great impact on saving lives. One of the top
deadliest diseases in the world is leukemia. Once detected, its treatment is immediately …