Automated microscopic image analysis for leukocytes identification: A survey
M Saraswat, KV Arya - Micron, 2014 - Elsevier
Automatic quantification and classification of leukocytes in microscopic images are of
paramount importance in the perspective of disease identification, its progress and drugs …
paramount importance in the perspective of disease identification, its progress and drugs …
From microscope to micropixels: A rapid review of artificial intelligence for the peripheral blood film
Artificial intelligence (AI) and its application in classification of blood cells in the peripheral
blood film is an evolving field in haematology. We performed a rapid review of the literature …
blood film is an evolving field in haematology. We performed a rapid review of the literature …
Classification of acute lymphoblastic leukemia using deep learning
Acute Leukemia is a life‐threatening disease common both in children and adults that can
lead to death if left untreated. Acute Lymphoblastic Leukemia (ALL) spreads out in children's …
lead to death if left untreated. Acute Lymphoblastic Leukemia (ALL) spreads out in children's …
Segmentation of white blood cells and comparison of cell morphology by linear and naïve Bayes classifiers
J Prinyakupt, C Pluempitiwiriyawej - Biomedical engineering online, 2015 - Springer
Background Blood smear microscopic images are routinely investigated by haematologists
to diagnose most blood diseases. However, the task is quite tedious and time consuming …
to diagnose most blood diseases. However, the task is quite tedious and time consuming …
Improved classification of white blood cells with the generative adversarial network and deep convolutional neural network
K Almezhghwi, S Serte - Computational Intelligence and …, 2020 - Wiley Online Library
White blood cells (leukocytes) are a very important component of the blood that forms the
immune system, which is responsible for fighting foreign elements. The five types of white …
immune system, which is responsible for fighting foreign elements. The five types of white …
A neural‐network‐based approach to white blood cell classification
This paper presents a new white blood cell classification system for the recognition of five
types of white blood cells. We propose a new segmentation algorithm for the segmentation …
types of white blood cells. We propose a new segmentation algorithm for the segmentation …
A spectral and morphologic method for white blood cell classification
Q Wang, L Chang, M Zhou, Q Li, H Liu, F Guo - Optics & Laser Technology, 2016 - Elsevier
The identification of white blood cells is important as it provides an assay for diagnosis of
various diseases. To overcome the complexity and inaccuracy of traditional methods based …
various diseases. To overcome the complexity and inaccuracy of traditional methods based …
Biosensors and machine learning for enhanced detection, stratification, and classification of cells: A review
Biological cells, by definition, are the basic units which contain the fundamental molecules of
life of which all living things are composed. Understanding how they function and …
life of which all living things are composed. Understanding how they function and …
Automatic classification of leukocytes using morphological features and naïve Bayes classifier
In human body, different types of diseases can be found while examining blood samples. In
this paper, the main aim is to detect leukocytes from human blood. These leukocytes protect …
this paper, the main aim is to detect leukocytes from human blood. These leukocytes protect …
A self-adaptive approach for white blood cell classification towards point-of-care testing
N Dong, M Zhai, J Chang, C Wu - Applied Soft Computing, 2021 - Elsevier
As important immune cells in the human body, white blood cells play a very significant role
in the auxiliary diagnosis of many major diseases. Clinically, changes in the number and …
in the auxiliary diagnosis of many major diseases. Clinically, changes in the number and …