A review on traditional machine learning and deep learning models for WBCs classification in blood smear images
In computer vision, traditional machine learning (TML) and deep learning (DL) methods
have significantly contributed to the advancements of medical image analysis (MIA) by …
have significantly contributed to the advancements of medical image analysis (MIA) by …
White blood cells image classification using deep learning with canonical correlation analysis
Abstract White Blood Cells play an important role in observing the health condition of an
individual. The opinion related to blood disease involves the identification and …
individual. The opinion related to blood disease involves the identification and …
Classification of white blood cells using deep features obtained from Convolutional Neural Network models based on the combination of feature selection methods
White blood cells are cells in the blood and lymph tissue produced by the bone marrow in
the human body. White blood cells are an important part of the immune system. The most …
the human body. White blood cells are an important part of the immune system. The most …
Optimizing the neural network hyperparameters utilizing genetic algorithm
Neural networks (NNs), as one of the most robust and efficient machine learning methods,
have been commonly used in solving several problems. However, choosing proper …
have been commonly used in solving several problems. However, choosing proper …
A fused CNN model for WBC detection with MRMR feature selection and extreme learning machine
F Özyurt - Soft Computing, 2020 - Springer
White blood cell (WBC) test is used to diagnose many diseases, particularly infections,
ranging from allergies to leukemia. A physician needs clinical experience to detect and …
ranging from allergies to leukemia. A physician needs clinical experience to detect and …
Leukocytes image classification using optimized convolutional neural networks
M Hosseini, D Bani-Hani, SS Lam - Expert Systems with Applications, 2022 - Elsevier
Hematologic diseases and blood disorders can be studied through the microscopic or
chemical examination of blood smear images. Many researchers work on identifying …
chemical examination of blood smear images. Many researchers work on identifying …
Using deep DenseNet with cyclical learning rate to classify leukocytes for leukemia identification
Background The examination, counting, and classification of white blood cells (WBCs), also
known as leukocytes, are essential processes in the diagnosis of many disorders, including …
known as leukocytes, are essential processes in the diagnosis of many disorders, including …
WBCs-Net: Type identification of white blood cells using convolutional neural network
On monitoring an individual's health condition, White Blood Cells play a significant role. The
opinion on blood-related disease requires the detection and description of the blood of a …
opinion on blood-related disease requires the detection and description of the blood of a …
Classification of white blood cells with SVM by selecting SqueezeNet and LIME properties by mRMR method
E Başaran - Signal, Image and Video Processing, 2022 - Springer
White blood cells, which have an important role in the human immune system, protect the
body against various viruses, harmful bacteria and infections. If there are not enough white …
body against various viruses, harmful bacteria and infections. If there are not enough white …
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 …