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 …
UKSSL: underlying knowledge based semi-supervised learning for medical image classification
Goal: Deep learning techniques have made significant progress in medical image analysis.
However, obtaining ground truth labels for unlabeled medical images is challenging as they …
However, obtaining ground truth labels for unlabeled medical images is challenging as they …
RETRACTED ARTICLE: Peripheral Blood Smear Images Classification for Acute Lymphoblastic Leukemia Diagnosis with an Improved Convolutional Neural Network
E Özbay, FA Özbay, FS Gharehchopogh - Journal of Bionic Engineering, 2023 - Springer
The Editor-in-Chief has retracted this article because it overlaps significantly with a prior
publication with no common authors [1]. Specifically, images in Figs. 3 and 4 appear highly …
publication with no common authors [1]. Specifically, images in Figs. 3 and 4 appear highly …
Classification of white blood cells using weighted optimized deformable convolutional neural networks
X Yao, K Sun, X Bu, C Zhao, Y ** - Artificial Cells, Nanomedicine …, 2021 - Taylor & Francis
Background Machine learning (ML) algorithms have been widely used in the classification of
white blood cells (WBCs). However, the performance of ML algorithms still needs to be …
white blood cells (WBCs). However, the performance of ML algorithms still needs to be …
Efficient deep feature extraction and classification for identifying defective photovoltaic module cells in Electroluminescence images
Electroluminescence (EL) imaging has become the standard test procedure for defect
detection throughout the production, installation and operation stages of solar modules …
detection throughout the production, installation and operation stages of solar modules …
Classification of white blood cell using convolution neural network
The human immune system consists of White Blood Cells that are responsible for fighting of
disease pathogens. In the field of medical imagining, white blood cells is of great …
disease pathogens. In the field of medical imagining, white blood cells is of great …
[PDF][PDF] RETRACTED: BCNet: A Novel Network for Blood Cell Classification
Z Zhu, S Lu, SH Wang, JM Górriz… - Frontiers in cell and …, 2022 - frontiersin.org
Aims: Most blood diseases, such as chronic anemia, leukemia (commonly known as blood
cancer), and hematopoietic dysfunction, are caused by environmental pollution …
cancer), and hematopoietic dysfunction, are caused by environmental pollution …
An approach to classify white blood cells using convolutional neural network optimized by particle swarm optimization algorithm
Blood cell count is an important parameter in analysing a person's health condition. White
blood corpuscles (leukocytes) are responsible for deciding the immunity system of a person …
blood corpuscles (leukocytes) are responsible for deciding the immunity system of a person …
Classification of white blood cells: A comprehensive study using transfer learning based on convolutional neural networks
T Tamang, S Baral, MP Paing - Diagnostics, 2022 - mdpi.com
White blood cells (WBCs) in the human immune system defend against infection and protect
the body from external hazardous objects. They are comprised of neutrophils, eosinophils …
the body from external hazardous objects. They are comprised of neutrophils, eosinophils …
A comparison of automated classification techniques for image processing in video internet of things
The counts of various types of white blood cells give vital information for identifying a variety
of ailments utilizing the video internet of things (VIoT). This technique needs to be automated …
of ailments utilizing the video internet of things (VIoT). This technique needs to be automated …