Enhanced Machine learning algorithms Lightweight Ensemble Classification of Normal versus Leukemic Cel

K Sridhar, AR Yeruva, PN Renjith, A Dixit… - Journal of …, 2022 - pnrjournal.com
Leukemia is type of cancer in blood which impacts the lymphatic framework and the bone
marrow and also impacts white blood cells. Leukemia, in contrast to other types of cancer …

[HTML][HTML] An aggregated-based deep learning method for leukemic B-lymphoblast classification

PH Kasani, SW Park, JW Jang - Diagnostics, 2020 - mdpi.com
Leukemia is a cancer of blood cells in the bone marrow that affects both children and
adolescents. The rapid growth of unusual lymphocyte cells leads to bone marrow failure …

Lightweight EfficientNetB3 model based on depthwise separable convolutions for enhancing classification of leukemia white blood cell images

A Batool, YC Byun - IEEE Access, 2023 - ieeexplore.ieee.org
Acute lymphoblastic leukemia (ALL) is a type of leukemia cancer that arises due to the
excessive growth of immature white blood cells (WBCs) in the bone marrow. The ALL rate …

A hybrid deep learning architecture for leukemic B-lymphoblast classification

SH Kassani, PH Kassani… - … on Information and …, 2019 - ieeexplore.ieee.org
Automatic detection of leukemic B-lymphoblast cancer in microscopic images is very
challenging due to the complicated nature of histopathological structures. To tackle this …

[HTML][HTML] Computer-aided diagnosis system for blood diseases using efficientnet-b3 based on a dynamic learning algorithm

S Abd El-Ghany, M Elmogy, AAA El-Aziz - Diagnostics, 2023 - mdpi.com
The immune system's overproduction of white blood cells (WBCs) results in the most
common blood cancer, leukemia. It accounts for about 25% of childhood cancers and is one …

[PDF][PDF] Timely diagnosis of acute lymphoblastic leukemia using artificial intelligence-oriented deep learning methods

S Rezayi, N Mohammadzadeh… - Computational …, 2021 - downloads.hindawi.com
Background. Leukemia is fatal cancer in both children and adults and is divided into acute
and chronic. Acute lymphoblastic leukemia (ALL) is a subtype of this cancer. Early diagnosis …

[HTML][HTML] An attention-based convolutional neural network for acute lymphoblastic leukemia classification

M Zakir Ullah, Y Zheng, J Song, S Aslam, C Xu… - Applied Sciences, 2021 - mdpi.com
Leukemia is a kind of blood cancer that influences people of all ages and is one of the
leading causes of death worldwide. Acute lymphoblastic leukemia (ALL) is the most widely …

[HTML][HTML] BO-ALLCNN: Bayesian-based optimized CNN for acute lymphoblastic leukemia detection in microscopic blood smear images

G Atteia, AA Alhussan, NA Samee - Sensors, 2022 - mdpi.com
Acute lymphoblastic leukemia (ALL) is a deadly cancer characterized by aberrant
accumulation of immature lymphocytes in the blood or bone marrow. Effective treatment of …

[HTML][HTML] A customized efficient deep learning model for the diagnosis of acute leukemia cells based on lymphocyte and monocyte images

S Ansari, AH Navin, AB Sangar, JV Gharamaleki… - Electronics, 2023 - mdpi.com
The production of blood cells is affected by leukemia, a type of bone marrow cancer or blood
cancer. Deoxyribonucleic acid (DNA) is related to immature cells, particularly white cells …

[HTML][HTML] Development and evaluation of a leukemia diagnosis system using deep learning in real clinical scenarios

M Zhou, K Wu, L Yu, M Xu, J Yang, Q Shen… - Frontiers in …, 2021 - frontiersin.org
Leukemia is the most common malignancy affecting children. The morphologic analysis of
bone marrow smears is an important initial step for diagnosis. Recent publications …