Detection and classification of immature leukocytes for diagnosis of acute myeloid leukemia using random forest algorithm

S Dasariraju, M Huo, S McCalla - Bioengineering, 2020 - mdpi.com
Acute myeloid leukemia (AML) is a fatal blood cancer that progresses rapidly and hinders
the function of blood cells and the immune system. The current AML diagnostic method, a …

Peripheral blood smear analysis using automated computer-aided diagnosis system to identify acute myeloid leukemia

V Acharya, V Ravi, TD Pham… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Acute myeloid leukemia (AML) is a cancer of the myeloid line of cells caused due to the
rapid increase of abnormal cells that later interfere with healthy cells. One of the main …

Classification of atypical white blood cells in acute myeloid leukemia using a two-stage hybrid model based on deep convolutional autoencoder and deep …

TA Elhassan, MS Mohd Rahim, MH Siti Zaiton… - Diagnostics, 2023 - mdpi.com
Recent advancements in artificial intelligence (AI) have led to numerous medical
discoveries. The field of computer vision (CV) for medical diagnosis has received particular …

Utilization of K-nearest neighbor algorithm for classification of white blood cells in AML M4, M5, and M7

NPT Prakisya, F Liantoni, P Hatta… - Open …, 2021 - degruyter.com
Acute myeloid leukemia (AML) M4, M5, and M7 are subtypes of leukemia derived from
myeloid cell derivatives that influences the results of the identification of AMLs, which …

Classification of acute myeloid leukemia by pre-trained deep neural networks: A comparison with different activation functions

AE Aby, S Salaji, KK Anilkumar, T Rajan - Medical Engineering & Physics, 2025 - Elsevier
Abstract Acute Myeloid Leukemia (AML) is a rapidly progressing cancer affecting blood and
bone marrow, marked by the swift proliferation of abnormal myeloid cells. Effective treatment …

Detection of Acute Myeloid Leukemia from Peripheral Blood Smear Images Using Transfer Learning in Modified CNN Architectures

JF Rahman, M Ahmad - … of International Conference on Information and …, 2023 - Springer
Acute myeloid leukemia (AML), the most fatal hematological malignancy, is characterized by
immature leukocyte proliferation in the bone marrow and peripheral blood. Conventional …

Classification of immature white blood cells in acute lymphoblastic leukemia L1 using neural networks particle swarm optimization

RI Agustin, A Arif, U Sukorini - Neural Computing and Applications, 2021 - Springer
Abstract Acute Lymphoblastic Leukemia (ALL) is a type of leukemia that is related to a large
number of lymphoblast cells in the peripheral blood and bone marrow. The initial step in …

The classification of abnormal red blood cell on the minor thalassemia case using artificial neural network and convolutional neural network

DA Tyas, T Ratnaningsih, A Harjoko… - Proceedings of the …, 2017 - dl.acm.org
The morphological disorder of the red blood cell is one of the indications of a certain type of
diseases. On the minor thalassemia, such cases like the erythrocyte having a nucleus, a few …

CAE-ResVGG FusionNet: A Feature Extraction Framework Integrating Convolutional Autoencoders and Transfer Learning for Immature White Blood Cells in Acute …

T Elhassan, AH Osman, MSM Rahim, SZM Hashim… - Heliyon, 2024 - cell.com
Acute myeloid leukemia (AML) is a highly aggressive cancer form that affects myeloid cells,
leading to the excessive growth of immature white blood cells (WBCs) in both bone marrow …

Classification of blast cell type on acute myeloid leukemia (AML) based on image morphology of white blood cells

W Wiharto, E Suryani, YR Putra - … Computing Electronics and …, 2019 - telkomnika.uad.ac.id
AML is one type of cancer of the blood and spinal cord. AML has a number of subtypes
including M0 and M1. Both subtypes are distinguished by the dominant blast cell type in the …