Classification of white blood cells (leucocytes) from blood smear imagery using machine and deep learning models: A global scoping review
Machine learning (ML) and deep learning (DL) models are being increasingly employed for
medical imagery analyses, with both approaches used to enhance the accuracy of …
medical imagery analyses, with both approaches used to enhance the accuracy of …
Ghost-resNeXt: an effective deep learning based on mature and immature WBC classification
SSR Bairaboina, SR Battula - Applied Sciences, 2023 - mdpi.com
White blood cells (WBCs) must be evaluated to determine how well the human immune
system performs. Abnormal WBC counts may indicate malignancy, tuberculosis, severe …
system performs. Abnormal WBC counts may indicate malignancy, tuberculosis, severe …
Shifted window vision transformer for blood cell classification
Blood cells play an important role in the metabolism of the human body, and the status of
blood cells can be used for clinical diagnoses, such as the ratio of different blood cells …
blood cells can be used for clinical diagnoses, such as the ratio of different blood cells …
A Review on Classification of White Blood Cells Using Machine Learning Models
The machine learning (ML) and deep learning (DL) models contribute to exceptional
medical image analysis improvement. The models enhance the prediction and improve the …
medical image analysis improvement. The models enhance the prediction and improve the …
Morphological diagnosis of hematologic malignancy using feature fusion-based deep convolutional neural network
Leukemia is a cancer of white blood cells characterized by immature lymphocytes. Due to
blood cancer, many people die every year. Hence, the early detection of these blast cells is …
blood cancer, many people die every year. Hence, the early detection of these blast cells is …
Deep learning model for differentiating acute myeloid and lymphoblastic leukemia in peripheral blood cell images via myeloblast and lymphoblast classification
S Park, YH Park, J Huh, SM Baik, DJ Park - Digital Health, 2024 - journals.sagepub.com
Objective Acute leukemia (AL) is a life-threatening malignant disease that occurs in the bone
marrow and blood, and is classified as either acute myeloid leukemia (AML) or acute …
marrow and blood, and is classified as either acute myeloid leukemia (AML) or acute …
Deep learning based Non-Local k-best renyi entropy for classification of white blood cell subtypes
S Ratheesh, AA Breethi - Biomedical Signal Processing and Control, 2024 - Elsevier
The major issue in classifying blood cells from the microscopic image is overlapping cells
and overfitting data. Therefore, to solve these problems in microscopic imaging, a …
and overfitting data. Therefore, to solve these problems in microscopic imaging, a …
Automatic Classification of White Blood Cells Using a Semi-Supervised Convolutional Neural Network
H Song, Z Wang - IEEE Access, 2024 - ieeexplore.ieee.org
The correct classification of white blood cell subtypes is critical in the diagnosis of blood
disease. However, the performance of classical computer vision-based classification …
disease. However, the performance of classical computer vision-based classification …
Leukocyte subtype classification with multi-model fusion
Y Ding, X Tang, Y Zhuang, J Mu, S Chen, S Liu… - Medical & Biological …, 2023 - Springer
Accurate classification of leukocytes is crucial for the diagnosis of hematologic
malignancies, particularly leukemia. However, traditional leukocyte classification methods …
malignancies, particularly leukemia. However, traditional leukocyte classification methods …
Classification of Blood Cells Using Deep Learning Models
R Asghar, S Kumar, A Mahfooz - arXiv preprint arXiv:2308.06300, 2023 - arxiv.org
Human blood mainly comprises plasma, red blood cells, white blood cells, and platelets.
The blood cells provide the body's cells oxygen to nourish them, shield them from infections …
The blood cells provide the body's cells oxygen to nourish them, shield them from infections …